This presentation provides an overview of DataStax Enterprise, which is a smart data platform built on Apache Cassandra that manages both real-time and analytic data in the same database cluster.
Spark Driver v 1.0 is now available with free Apache 2.0 license with DataStax. DataStax and Databricks have partnered together to make it easier than ever before to integrate both open source technologies and help the most progressive data-driven businesses succeed today. Cassandra and Spark together arm users with analysis to power online recommendations, personalized customer experiences, sensor-data detection, fraud detection and more.
Webinar: Buckle Up: The Future of the Distributed Database is Here - DataStax...DataStax
We recently launched DataStax Enterprise 4.5 - the fastest, most scalable distributed database technology with blazing performance, 100x faster analytics and automated diagnostics.
Join DataStax’s product gurus Martin Van Ryswyk, EVP of Engineering, and Robin Schumacher, VP of Products, in an open dialog as they discuss the importance of -
- Selecting the right database technology for today’s digital world
- Integrated analytics for lightning fast customer interactions
- Merging operational and historical data for the most accurate insights, possible
Webinar: Get On-Demand Education Anytime, Anywhere with Coursera and DataStaxDataStax
The document summarizes a webinar presented by Coursera and DataStax about migrating Coursera's database from MySQL to the Apache Cassandra database using DataStax Enterprise. It describes Coursera's requirements for high availability, scalability, and performance to support over 11 million learners worldwide. It outlines challenges Coursera faced with MySQL, including expensive queries, single points of failure causing downtime, and limited scalability. The webinar then covers why Cassandra, DataStax Enterprise, and DataStax support were chosen, and highlights of Coursera's migration process and performance results with the new platform.
Reporting from the Trenches: Intuit & CassandraDataStax
Rekha Joshi presents on how Intuit uses the Cassandra database to enable personalized A/B testing and improve customer experiences. Intuit handles large volumes of customer data and required a database with high security, scalability, availability and tunable performance. Cassandra met these requirements and became Intuit's standard NoSQL database. Rekha discusses how Intuit leverages Cassandra's capabilities and provides best practices for effective Cassandra usage, configuration, and performance tuning.
How DataStax Enterprise and Azure Make Your Apps Scale from Day 1DataStax
This document discusses how DataStax Enterprise (DSE) and Microsoft Azure can help applications scale from day one. It recommends starting with Cassandra for built-in replication, redundancy and scaling. Using DSE and Azure provides these features in the cloud. The document outlines how DSE can add more functionality like search and analytics while scaling across data centers. It provides a real example of how migrating an existing application to DSE and the cloud improved its performance, monitoring and ability to change over time.
This document discusses building a digital bank and Macquarie's digital transformation efforts. It summarizes that Macquarie wants to deliver awesome digital experiences for clients, new revenue streams, and operational efficiency through digital transformation. The main drivers of Macquarie's transformation are a new way of work focused on client needs, client experience, strategic partnerships, and service-driven IT.
Introduction to DataStax Enterprise Graph DatabaseDataStax Academy
DataStax Enterprise (DSE) Graph is a built to manage, analyze, and search highly connected data. DSE Graph, built on NoSQL Apache Cassandra delivers continuous uptime along with predictable performance and scales for modern systems dealing with complex and constantly changing data.
Download DataStax Enterprise: Academy.DataStax.com/Download
Start free training for DataStax Enterprise Graph: Academy.DataStax.com/courses/ds332-datastax-enterprise-graph
There are More Clouds! Azure and Cassandra (Carlos Rolo, Pythian) | C* Summit...DataStax
This document summarizes Carlos Rolo's presentation on using Cassandra with Azure Resource Manager. It introduces Carlos and his background with distributed systems and Cassandra. It then discusses Pythian, the consulting company, and their expertise in database management. The remainder of the document summarizes key aspects of using Azure, including the different Azure services, storage options, networking, availability sets, and Azure Resource Manager templates for automating deployments of Cassandra clusters on Azure.
Spark Driver v 1.0 is now available with free Apache 2.0 license with DataStax. DataStax and Databricks have partnered together to make it easier than ever before to integrate both open source technologies and help the most progressive data-driven businesses succeed today. Cassandra and Spark together arm users with analysis to power online recommendations, personalized customer experiences, sensor-data detection, fraud detection and more.
Webinar: Buckle Up: The Future of the Distributed Database is Here - DataStax...DataStax
We recently launched DataStax Enterprise 4.5 - the fastest, most scalable distributed database technology with blazing performance, 100x faster analytics and automated diagnostics.
Join DataStax’s product gurus Martin Van Ryswyk, EVP of Engineering, and Robin Schumacher, VP of Products, in an open dialog as they discuss the importance of -
- Selecting the right database technology for today’s digital world
- Integrated analytics for lightning fast customer interactions
- Merging operational and historical data for the most accurate insights, possible
Webinar: Get On-Demand Education Anytime, Anywhere with Coursera and DataStaxDataStax
The document summarizes a webinar presented by Coursera and DataStax about migrating Coursera's database from MySQL to the Apache Cassandra database using DataStax Enterprise. It describes Coursera's requirements for high availability, scalability, and performance to support over 11 million learners worldwide. It outlines challenges Coursera faced with MySQL, including expensive queries, single points of failure causing downtime, and limited scalability. The webinar then covers why Cassandra, DataStax Enterprise, and DataStax support were chosen, and highlights of Coursera's migration process and performance results with the new platform.
Reporting from the Trenches: Intuit & CassandraDataStax
Rekha Joshi presents on how Intuit uses the Cassandra database to enable personalized A/B testing and improve customer experiences. Intuit handles large volumes of customer data and required a database with high security, scalability, availability and tunable performance. Cassandra met these requirements and became Intuit's standard NoSQL database. Rekha discusses how Intuit leverages Cassandra's capabilities and provides best practices for effective Cassandra usage, configuration, and performance tuning.
How DataStax Enterprise and Azure Make Your Apps Scale from Day 1DataStax
This document discusses how DataStax Enterprise (DSE) and Microsoft Azure can help applications scale from day one. It recommends starting with Cassandra for built-in replication, redundancy and scaling. Using DSE and Azure provides these features in the cloud. The document outlines how DSE can add more functionality like search and analytics while scaling across data centers. It provides a real example of how migrating an existing application to DSE and the cloud improved its performance, monitoring and ability to change over time.
This document discusses building a digital bank and Macquarie's digital transformation efforts. It summarizes that Macquarie wants to deliver awesome digital experiences for clients, new revenue streams, and operational efficiency through digital transformation. The main drivers of Macquarie's transformation are a new way of work focused on client needs, client experience, strategic partnerships, and service-driven IT.
Introduction to DataStax Enterprise Graph DatabaseDataStax Academy
DataStax Enterprise (DSE) Graph is a built to manage, analyze, and search highly connected data. DSE Graph, built on NoSQL Apache Cassandra delivers continuous uptime along with predictable performance and scales for modern systems dealing with complex and constantly changing data.
Download DataStax Enterprise: Academy.DataStax.com/Download
Start free training for DataStax Enterprise Graph: Academy.DataStax.com/courses/ds332-datastax-enterprise-graph
There are More Clouds! Azure and Cassandra (Carlos Rolo, Pythian) | C* Summit...DataStax
This document summarizes Carlos Rolo's presentation on using Cassandra with Azure Resource Manager. It introduces Carlos and his background with distributed systems and Cassandra. It then discusses Pythian, the consulting company, and their expertise in database management. The remainder of the document summarizes key aspects of using Azure, including the different Azure services, storage options, networking, availability sets, and Azure Resource Manager templates for automating deployments of Cassandra clusters on Azure.
Webinar | How Clear Capital Delivers Always-on Appraisals on 122 Million Prop...DataStax
In online residential and commercial real estate, even fractions of seconds in response times affect customer satisfaction and conversion to revenue. The need for continuous availability is paramount to deliver the levels of service customers demand from modern online applications.
Join David Prinzing, Enterprise Architect at Clear Capital to discover why Clear Capital, a premium provider of real estate asset valuation and collateral risk assessment, chose DataStax as the database-backbone for their ClearCollateral Platform. David will discuss how DataStax Enterprise, the world’s fastest, most scalable distributed database technology built on Apache Cassandra ensures 100% uptime for over 122 million properties (90% of all the properties in the United States) and supports reporting on over 1 Billion total valuations while never going down.
- The challenges in building real-time applications using relational technologies is forcing financial services firms to migrate to distributed database technologies
- How Clear Capital delivers 100% availability and real-time decision support across multiple data centers in the Amazon Cloud using DataStax Enterprise
- Why Apache Cassandra’s architecture delivers always-on, customer engaging applications that capture new business opportunities
Can My Inventory Survive Eventual Consistency?DataStax
Let’s explore an inventory use case and discover how it’s possible to use an eventually consistent data store like Cassandra / DSE to support scalability, consistency, continuous availability. Combine that with analytics and I’ll show you how to build an inventory system for the future.
How much money do you lose every time your ecommerce site goes down?DataStax
In today’s environment, you must serve your customers with uptime (all the time) availability, plus hidden benefits like state-of-the-art fraud detection and game-changing recommendation engines.
In this webinar, you’ll learn how to:
-Get uptime, all the time, so you can serve your customers without outages
-Ingest huge velocities of data from anywhere
-Maximize mobile, online and cloud applications with the security your customers expect
-Identify patterns between formerly silo’d data, even text and call logs
-Get the search & insight you need without performance hits
DataStax Training – Everything you need to become a Cassandra RockstarDataStax
Looking to strengthen your expertise of Cassandra and DataStax Enterprise? This DataStax Training Webinar provides an overview of what you need to get the most out of Cassandra and your DataStax Enterprise environment. Whether you’re a developer or administrator, novice or a Cassandra expert, there is a class that will meet your experience level and needs.
Webinar: ROI on Big Data - RDBMS, NoSQL or Both? A Simple Guide for Knowing H...DataStax
Big data doesn't mean big money. In fact, choosing a NoSQL solution will almost certainly save your business money, in terms of hardware, licensing, and total cost of ownership. What's more, choosing the correct technology for your use case will almost certainly increase your top line as well.
Big words, right? We'll back them up with customer case studies and lots of details.
This webinar will give you the basics for growing your business in a profitable way. What's the use of growing your top line but outspending any gains on cumbersome, ineffective, outdated IT? We'll take you through the specific use cases and business models that are the best fit for NoSQL solutions.
By the way, no prior knowledge is required. If you don't even know what RDBMS or NoSQL stand for, you are in the right place. Get your questions answered, and get your business on the right track to meeting your customers' needs in today's data environment.
Cassandra Community Webinar: From Mongo to Cassandra, Architectural LessonsDataStax
We'll be covering some aspects of our architecture, highlighting differences between MongoDB and Cassandra. We'll go in depth to explain why Cassandra is a better choice for our general purpose Application Platform (SHIFT) as well as our Media Buying Analytics tool (the SHIFT Media Manager). We'll be going over common design patterns people might be familiar with coming from a background with MongoDB and highlight how Cassandra would be used as a better alternative. We'll also touch more on cqlengine which is nearing feature completeness as the Cassandra object mapper for Python.
Data stax webinar cassandra and titandb insights into datastax graph strategy...DataStax
DataStax plans to support multiple data models in DataStax Enterprise (DSE) including graph databases. In 2015, DSE will integrate Titan, an open source graph database built on Cassandra. DataStax Enterprise Graph (DSE Graph) will be the graph database solution integrated into DSE, leveraging Titan. DSE Graph will provide tight Cassandra integration, graph analytics with Spark, search with DSE Search, and monitoring with OpsCenter. DataStax aims to contribute to TinkerPop and make it the top open source graph framework. The first release of DSE Graph is planned for DSE 5.0 with early access preview builds available.
Making Every Drop Count: How i20 Addresses the Water Crisis with the IoT and ...DataStax
Depleting water supplies coupled with increasing global demand is an environmental challenge with lasting impact on societies across the world. Join this webinar to learn how i2O Water, a pioneer in smart water management technologies, is leading the charge against a global crisis with an Internet of Things (IOT) solution built on Apache Cassandra™
How jKool Analyzes Streaming Data in Real Time with DataStaxDataStax
In this webinar, Charles Rich, VP of Product Management at jKool will share their journey with DataStax; how jKool knew from the start that traditional relational databases wouldn’t work for the scalability and availability demands of time-series data, and why they turned to DataStax Enterprise for blazing performance and powerful enterprise search and analytics capabilities.
Don't Let Your Shoppers Drop; 5 Rules for Today’s eCommerceDataStax
The definition of eCommerce has totally changed, expanding from a purely retail perspective to mean "the place where your customers meet you online." Whether you offer mortgage services or catering recommendations, you must think of your online transaction application as an eCommerce site.
Transforms Document Management at Scale with Distributed Database Solution wi...DataStax Academy
SpringCM will discuss how they achieve massive scalability and blazing performance with DataStax Enterprise and HP Moonshot Solutions; to transform enterprise document management forever. They will dive into: how they broke through their capacity to run millions of workloads per hour, why relational database technologies simply cannot handle the scalability demands of document management SaaS, and how they deliver up to 70% more energy savings than traditional rack server architecture.
A data warehouse is an organized collection of integrated subject-oriented databases designed to aid decision support. It supports business reporting and data mining by providing a consolidated view of cleaned and organized corporate data. Key considerations in data warehouse design include being subject oriented, integrated, time-variant, nonvolatile, summarized, not normalized, including metadata, and being near real-time or tight-time. Data is loaded into the warehouse through extraction, transformation, and loading processes from sources like operational data, specialized applications, and external syndicated data.
DataStax Enterprise 4.6, the fastest, most scalable distributed database now integrates Apache Spark analytics on streaming data while providing enterprise-grade backup and restore capabilities to safeguard critical and distributed customer information.
Join established database expert and DataStax's VP of Products, Robin Schumacher, as he explores new capabilities in DataStax Enterprise 4.6 including security enhancements, analytics on streaming data and increased performance for modern web, mobile and IoT applications. Robin will discuss how the new OpsCenter 5.1 makes backup and restore processes push-button simple with the option of restoring critical data to and from the cloud taking the burden off database administrators.
Watch to learn how
- Faster and easier analytics with Spark SQL and Spark Streaming and simplified search make it easy to build scalable fault-tolerant streaming applications
- Enhanced server security with LDAP and Active Directory integration for easier external security management
- An automated high availability option allows a secondary OpsCenter service to take over, should a failure occur so your maintenance operations are always running
Apache Cassandra Lunch #71: Creating a User Profile Using DataStax Astra and ...Anant Corporation
In Cassandra Lunch #71, we will discuss how DataStax Astra can be used as a back-end for a React client. We will demo a small application with a user profile.
Accompanying Blog: https://blog.anant.us/creating-a-user-profile-using-datastax-astra/
Accompanying YouTube: https://youtu.be/7n4PsYhGIfM
Sign Up For Our Newsletter: http://eepurl.com/grdMkn
Join Cassandra Lunch Weekly at 12 PM EST Every Wednesday: https://www.meetup.com/Cassandra-DataStax-DC/events/
Cassandra.Link:
https://cassandra.link/
Follow Us and Reach Us At:
Anant:
https://www.anant.us/
Awesome Cassandra:
https://github.com/Anant/awesome-cassandra
Cassandra.Lunch:
https://github.com/Anant/Cassandra.Lunch
Email:
solutions@anant.us
LinkedIn:
https://www.linkedin.com/company/anant/
Twitter:
https://twitter.com/anantcorp
Eventbrite:
https://www.eventbrite.com/o/anant-1072927283
Facebook:
https://www.facebook.com/AnantCorp/
Join The Anant Team:
https://www.careers.anant.us
Webinar: Bitcoins and Blockchains - Emerging Financial Services Trends and Te...DataStax
In this webinar, Vincent de Lagabbe, co-founder and CTO at Kaiko, discusses the emerging trends and technologies within the financial services industry. Vincent explains the Bitcoin ecosystem, which is comprised of Blockchain Data, Miners (their importance and motivations), Exchanges, and Bitcoin Wallets. Vincent also explains how Kaiko analyzes the Bitcoin ecosystem to help businesses make sense of the data, and how they leverage DSE to successfully deliver those services.
View webinar recording: https://youtu.be/w4PSkRoWSjk
In this slidecast, Ramesh Menon from Cray introduces the Urika-XA Advanced Analytics Platform. The Cray Urika-XA system provides customers with the benefits of a turnkey analytics appliance combined with a flexible, open platform that can be modified for future analytics workloads.
http://cray.com
Watch the video presentation: http://wp.me/p3RLHQ-dd7
This document provides an overview of Azure Synapse Analytics and its key capabilities. Azure Synapse Analytics is a limitless analytics service that brings together enterprise data warehousing and big data analytics. It allows querying data on-demand or at scale using serverless or provisioned resources. The document outlines Synapse's integrated data platform capabilities for business intelligence, artificial intelligence and continuous intelligence. It also describes the different types of analytics workloads that Synapse supports and key architectural components like the dedicated SQL pool and massively parallel processing concepts.
Data Pipelines with Spark & DataStax EnterpriseDataStax
This document discusses building data pipelines for both static and streaming data using Apache Spark and DataStax Enterprise (DSE). For static data, it recommends using optimized data storage formats, distributed and scalable technologies like Spark, interactive analysis tools like notebooks, and DSE for persistent storage. For streaming data, it recommends using scalable distributed technologies, Kafka to decouple producers and consumers, and DSE for real-time analytics and persistent storage across datacenters.
This document describes CFS, a Cassandra-backed storage system for Hadoop. It discusses the motivations for building such a system given Cassandra's strengths in scalability and real-time data but lack of support for ad-hoc queries. The solution presented uses Cassandra to store Hadoop file metadata and block data, allowing tasks to run locally for data locality. It describes how files are written by splitting them into blocks and updating column families for inode metadata and block storage (sblocks). Reads check the inode to determine blocks and request local or remote data as needed.
C*ollege Credit: Data Modeling for Apache CassandraDataStax
Cassandra stores data differently than traditional RDBMS’s. It is these differences that allow for improvements in performance, availability and scalability. Aaron Morton, DataStax MVP for Apache Cassandra will present the basics of the data model and outline the differences clearly. This webinar is 101 level and is suitable for people who are coming from a relational background and just starting to get into Apache Cassandra.
Webinar | How Clear Capital Delivers Always-on Appraisals on 122 Million Prop...DataStax
In online residential and commercial real estate, even fractions of seconds in response times affect customer satisfaction and conversion to revenue. The need for continuous availability is paramount to deliver the levels of service customers demand from modern online applications.
Join David Prinzing, Enterprise Architect at Clear Capital to discover why Clear Capital, a premium provider of real estate asset valuation and collateral risk assessment, chose DataStax as the database-backbone for their ClearCollateral Platform. David will discuss how DataStax Enterprise, the world’s fastest, most scalable distributed database technology built on Apache Cassandra ensures 100% uptime for over 122 million properties (90% of all the properties in the United States) and supports reporting on over 1 Billion total valuations while never going down.
- The challenges in building real-time applications using relational technologies is forcing financial services firms to migrate to distributed database technologies
- How Clear Capital delivers 100% availability and real-time decision support across multiple data centers in the Amazon Cloud using DataStax Enterprise
- Why Apache Cassandra’s architecture delivers always-on, customer engaging applications that capture new business opportunities
Can My Inventory Survive Eventual Consistency?DataStax
Let’s explore an inventory use case and discover how it’s possible to use an eventually consistent data store like Cassandra / DSE to support scalability, consistency, continuous availability. Combine that with analytics and I’ll show you how to build an inventory system for the future.
How much money do you lose every time your ecommerce site goes down?DataStax
In today’s environment, you must serve your customers with uptime (all the time) availability, plus hidden benefits like state-of-the-art fraud detection and game-changing recommendation engines.
In this webinar, you’ll learn how to:
-Get uptime, all the time, so you can serve your customers without outages
-Ingest huge velocities of data from anywhere
-Maximize mobile, online and cloud applications with the security your customers expect
-Identify patterns between formerly silo’d data, even text and call logs
-Get the search & insight you need without performance hits
DataStax Training – Everything you need to become a Cassandra RockstarDataStax
Looking to strengthen your expertise of Cassandra and DataStax Enterprise? This DataStax Training Webinar provides an overview of what you need to get the most out of Cassandra and your DataStax Enterprise environment. Whether you’re a developer or administrator, novice or a Cassandra expert, there is a class that will meet your experience level and needs.
Webinar: ROI on Big Data - RDBMS, NoSQL or Both? A Simple Guide for Knowing H...DataStax
Big data doesn't mean big money. In fact, choosing a NoSQL solution will almost certainly save your business money, in terms of hardware, licensing, and total cost of ownership. What's more, choosing the correct technology for your use case will almost certainly increase your top line as well.
Big words, right? We'll back them up with customer case studies and lots of details.
This webinar will give you the basics for growing your business in a profitable way. What's the use of growing your top line but outspending any gains on cumbersome, ineffective, outdated IT? We'll take you through the specific use cases and business models that are the best fit for NoSQL solutions.
By the way, no prior knowledge is required. If you don't even know what RDBMS or NoSQL stand for, you are in the right place. Get your questions answered, and get your business on the right track to meeting your customers' needs in today's data environment.
Cassandra Community Webinar: From Mongo to Cassandra, Architectural LessonsDataStax
We'll be covering some aspects of our architecture, highlighting differences between MongoDB and Cassandra. We'll go in depth to explain why Cassandra is a better choice for our general purpose Application Platform (SHIFT) as well as our Media Buying Analytics tool (the SHIFT Media Manager). We'll be going over common design patterns people might be familiar with coming from a background with MongoDB and highlight how Cassandra would be used as a better alternative. We'll also touch more on cqlengine which is nearing feature completeness as the Cassandra object mapper for Python.
Data stax webinar cassandra and titandb insights into datastax graph strategy...DataStax
DataStax plans to support multiple data models in DataStax Enterprise (DSE) including graph databases. In 2015, DSE will integrate Titan, an open source graph database built on Cassandra. DataStax Enterprise Graph (DSE Graph) will be the graph database solution integrated into DSE, leveraging Titan. DSE Graph will provide tight Cassandra integration, graph analytics with Spark, search with DSE Search, and monitoring with OpsCenter. DataStax aims to contribute to TinkerPop and make it the top open source graph framework. The first release of DSE Graph is planned for DSE 5.0 with early access preview builds available.
Making Every Drop Count: How i20 Addresses the Water Crisis with the IoT and ...DataStax
Depleting water supplies coupled with increasing global demand is an environmental challenge with lasting impact on societies across the world. Join this webinar to learn how i2O Water, a pioneer in smart water management technologies, is leading the charge against a global crisis with an Internet of Things (IOT) solution built on Apache Cassandra™
How jKool Analyzes Streaming Data in Real Time with DataStaxDataStax
In this webinar, Charles Rich, VP of Product Management at jKool will share their journey with DataStax; how jKool knew from the start that traditional relational databases wouldn’t work for the scalability and availability demands of time-series data, and why they turned to DataStax Enterprise for blazing performance and powerful enterprise search and analytics capabilities.
Don't Let Your Shoppers Drop; 5 Rules for Today’s eCommerceDataStax
The definition of eCommerce has totally changed, expanding from a purely retail perspective to mean "the place where your customers meet you online." Whether you offer mortgage services or catering recommendations, you must think of your online transaction application as an eCommerce site.
Transforms Document Management at Scale with Distributed Database Solution wi...DataStax Academy
SpringCM will discuss how they achieve massive scalability and blazing performance with DataStax Enterprise and HP Moonshot Solutions; to transform enterprise document management forever. They will dive into: how they broke through their capacity to run millions of workloads per hour, why relational database technologies simply cannot handle the scalability demands of document management SaaS, and how they deliver up to 70% more energy savings than traditional rack server architecture.
A data warehouse is an organized collection of integrated subject-oriented databases designed to aid decision support. It supports business reporting and data mining by providing a consolidated view of cleaned and organized corporate data. Key considerations in data warehouse design include being subject oriented, integrated, time-variant, nonvolatile, summarized, not normalized, including metadata, and being near real-time or tight-time. Data is loaded into the warehouse through extraction, transformation, and loading processes from sources like operational data, specialized applications, and external syndicated data.
DataStax Enterprise 4.6, the fastest, most scalable distributed database now integrates Apache Spark analytics on streaming data while providing enterprise-grade backup and restore capabilities to safeguard critical and distributed customer information.
Join established database expert and DataStax's VP of Products, Robin Schumacher, as he explores new capabilities in DataStax Enterprise 4.6 including security enhancements, analytics on streaming data and increased performance for modern web, mobile and IoT applications. Robin will discuss how the new OpsCenter 5.1 makes backup and restore processes push-button simple with the option of restoring critical data to and from the cloud taking the burden off database administrators.
Watch to learn how
- Faster and easier analytics with Spark SQL and Spark Streaming and simplified search make it easy to build scalable fault-tolerant streaming applications
- Enhanced server security with LDAP and Active Directory integration for easier external security management
- An automated high availability option allows a secondary OpsCenter service to take over, should a failure occur so your maintenance operations are always running
Apache Cassandra Lunch #71: Creating a User Profile Using DataStax Astra and ...Anant Corporation
In Cassandra Lunch #71, we will discuss how DataStax Astra can be used as a back-end for a React client. We will demo a small application with a user profile.
Accompanying Blog: https://blog.anant.us/creating-a-user-profile-using-datastax-astra/
Accompanying YouTube: https://youtu.be/7n4PsYhGIfM
Sign Up For Our Newsletter: http://eepurl.com/grdMkn
Join Cassandra Lunch Weekly at 12 PM EST Every Wednesday: https://www.meetup.com/Cassandra-DataStax-DC/events/
Cassandra.Link:
https://cassandra.link/
Follow Us and Reach Us At:
Anant:
https://www.anant.us/
Awesome Cassandra:
https://github.com/Anant/awesome-cassandra
Cassandra.Lunch:
https://github.com/Anant/Cassandra.Lunch
Email:
solutions@anant.us
LinkedIn:
https://www.linkedin.com/company/anant/
Twitter:
https://twitter.com/anantcorp
Eventbrite:
https://www.eventbrite.com/o/anant-1072927283
Facebook:
https://www.facebook.com/AnantCorp/
Join The Anant Team:
https://www.careers.anant.us
Webinar: Bitcoins and Blockchains - Emerging Financial Services Trends and Te...DataStax
In this webinar, Vincent de Lagabbe, co-founder and CTO at Kaiko, discusses the emerging trends and technologies within the financial services industry. Vincent explains the Bitcoin ecosystem, which is comprised of Blockchain Data, Miners (their importance and motivations), Exchanges, and Bitcoin Wallets. Vincent also explains how Kaiko analyzes the Bitcoin ecosystem to help businesses make sense of the data, and how they leverage DSE to successfully deliver those services.
View webinar recording: https://youtu.be/w4PSkRoWSjk
In this slidecast, Ramesh Menon from Cray introduces the Urika-XA Advanced Analytics Platform. The Cray Urika-XA system provides customers with the benefits of a turnkey analytics appliance combined with a flexible, open platform that can be modified for future analytics workloads.
http://cray.com
Watch the video presentation: http://wp.me/p3RLHQ-dd7
This document provides an overview of Azure Synapse Analytics and its key capabilities. Azure Synapse Analytics is a limitless analytics service that brings together enterprise data warehousing and big data analytics. It allows querying data on-demand or at scale using serverless or provisioned resources. The document outlines Synapse's integrated data platform capabilities for business intelligence, artificial intelligence and continuous intelligence. It also describes the different types of analytics workloads that Synapse supports and key architectural components like the dedicated SQL pool and massively parallel processing concepts.
Data Pipelines with Spark & DataStax EnterpriseDataStax
This document discusses building data pipelines for both static and streaming data using Apache Spark and DataStax Enterprise (DSE). For static data, it recommends using optimized data storage formats, distributed and scalable technologies like Spark, interactive analysis tools like notebooks, and DSE for persistent storage. For streaming data, it recommends using scalable distributed technologies, Kafka to decouple producers and consumers, and DSE for real-time analytics and persistent storage across datacenters.
This document describes CFS, a Cassandra-backed storage system for Hadoop. It discusses the motivations for building such a system given Cassandra's strengths in scalability and real-time data but lack of support for ad-hoc queries. The solution presented uses Cassandra to store Hadoop file metadata and block data, allowing tasks to run locally for data locality. It describes how files are written by splitting them into blocks and updating column families for inode metadata and block storage (sblocks). Reads check the inode to determine blocks and request local or remote data as needed.
C*ollege Credit: Data Modeling for Apache CassandraDataStax
Cassandra stores data differently than traditional RDBMS’s. It is these differences that allow for improvements in performance, availability and scalability. Aaron Morton, DataStax MVP for Apache Cassandra will present the basics of the data model and outline the differences clearly. This webinar is 101 level and is suitable for people who are coming from a relational background and just starting to get into Apache Cassandra.
Webinar - Security and Manageability: Key Criteria in Selecting Enterprise-Gr...DataStax
This webinar highlights DataStax's newest big data platform, DataStax Enterprise (DSE) 3.0. The webinar features DataStax CEO, Billy Bosworth; 451 Group research manager, Matt Aslett; and HealthCare Anytime CTO, Terrell Deppe. The three speakers will explain the importance of security and visual management tools when selecting a big data stack, and discuss how DSE 3.0 addresses these two key criteria.
DataStax recently announced the general availability of DataStax Enterprise 4.7 (DSE 4.7), the leading database platform purpose-built for the performance and availability demands of web, mobile, and IOT applications. In this product launch webinar, Robin Schumacher, VP of Products, explores the wide range of enhancements in DSE 4.7 including enterprise class search, analytics, and in-memory.
C*ollege Credit: An Introduction to Apache CassandraDataStax
Join Aaron Morton, DataStax MVP for Apache Cassandra and learn the basics of the massively scalable NoSQL database. This webinar is 101 level and will examine C*’s architecture and its strengths for powering mission-critical applications. Aaron will introduce you to concepts such as Cassandra’s data model, multi-datacenter replication, and tunable consistency.
Aplicação Web de Gerenciamento de Dados Escolar e Cálculo dos Beneficiários d...Júnior Sued
O trabalho tem por objetivo apresentar uma aplicação web de gerenciamento de dados escolar e do cálculo dos beneficiários do Bolsa Família. Esta aplicação será implementada em unidades escolares de todo o sistema educacional da cidade de Codó Maranhão, possibilitando assim a racionalização e ganho de tempo dos setores administrativo das escolas para a Secretaria Municipal de Educação em Codó-MA (SEMED). A aplicação foi elaborada com base em referências das dificuldades que as escolas têm em repassar as informações e dados dos alunos beneficiários para a Secretaria Municipal de Educação, em período determinado pelo Ministério da Educação (MEC), as ferramentas computacionais utilizadas para o desenvolvimento da aplicação, são simples e de domínio público vista no dia a dia.
Community Webinar: 15 Commandments of Cassandra DBAsDataStax
Are you a database professional looking for that next career boost? Maybe you are already using Cassandra and would like an edge in your job. Rachel and Patrick have been doing this for a long time and they can help! We’ll be going over some hard, fast rules that will save you time and trouble. Let our experience be your insider information. As a preview, here is commandment 0: Thou shalt watch!
A Helmsman meets a Daughter of Troy - The introduction of Kubernetes and Cass...Chris Love
Overview of running Apache Cassandra on Kubernetes. Walks through the example provided in Kubernetes 1.2. Covers running a Cassandra cluster using Resource Controllers or DeamonSets. Production needs and concerns are discussed, and the presentation includes a brief overview of PetSet that will arrive in Kubernetes 1.3.
Cassandra Community Webinar | The World's Next Top Data ModelDataStax
You know you need Cassandra for it's uptime and scaling, but what about that data model? Let's bridge that gap and get you building your game changing app. We'll break down topics like storing objects and indexing for fast retrieval. You will see by understanding a few things about Cassandra internals, you can put your data model in the spotlight. The goal of this talk is to get you comfortable working with data in Cassandra throughout the application lifecycle. What are you waiting for? The cameras are waiting!
Cassandra Community Webinar | Data Model on FireDataStax
Functional data models are great, but how can you squeeze out more performance and make them awesome? Let's talk through some example Cassandra 2.0 models, go through the tuning steps and understand the tradeoffs. Many time's just a simple understanding of the underlying Cassandra 2.0 internals can make all the difference. I've helped some of the biggest companies in the world do this and I can help you. Do you feel the need for Cassandra 2.0 speed?
A Cassandra + Solr + Spark Love Triangle Using DataStax EnterprisePatrick McFadin
Wait! Back away from the Cassandra 2ndary index. It’s ok for some use cases, but it’s not an easy button. "But I need to search through a bunch of columns to look for the data and I want to do some regression analysis… and I can’t model that in C*, even after watching all of Patrick McFadins videos. What do I do?” The answer, dear developer, is in DSE Search and Analytics. With it’s easy Solr API and Spark integration so you can search and analyze data stored in your Cassandra database until your heart’s content. Take our hand. WE will show you how.
Understanding Data Consistency in Apache CassandraDataStax
This document provides an overview of data consistency in Apache Cassandra. It discusses how Cassandra writes data to commit logs and memtables before flushing to SSTables. It also reviews the CAP theorem and how Cassandra offers tunable consistency levels for both reads and writes. Strategies for choosing consistency levels for writes, such as ANY, ONE, QUORUM, and ALL are presented. The document also covers read repair and hinted handoffs in Cassandra. Examples of CQL queries with different consistency levels are given and information on where to download Cassandra is provided at the end.
Using Spark to Load Oracle Data into Cassandra (Jim Hatcher, IHS Markit) | C*...DataStax
Spark is an execution framework designed to operate on distributed systems like Cassandra. It's a handy tool for many things, including ETL (extract, transform, and load) jobs. In this session, let me share with you some tips and tricks that I have learned through experience. I'm no oracle, but I can guarantee these tips will get you well down the path of pulling your relational data into Cassandra.
About the Speaker
Jim Hatcher Principal Architect, IHS Markit
Jim Hatcher is a software architect with a passion for data. He has spent most of his 20 year career working with relational databases, but he has been working with Big Data technologies such as Cassandra, Solr, and Spark for the last several years. He has supported systems with very large databases at companies like First Data, CyberSource, and Western Union. He is currently working at IHS, supporting an Electronic Parts Database which tracks half a billion electronic parts using Cassandra.
Data Modeling a Scheduling App (Adam Hutson, DataScale) | Cassandra Summit 2016DataStax
The task of a data modeler is to create order out of chaos without excessively distorting the truth. The finished product should be data model that describes the structure, manipulation and integrity aspects of the data to be stored. To properly create a data model, the modeler will transform said chaos through three distinct stages. The first is a Conceptual Data Model, then a Logical Data Model, and lastly, a Physical Data Model. This presentation will cover all three stages. It will also walk through the creation of a full blown data model for a service scheduling application to be built with a Cassandra backend. This presentation is based on a 3 part blog series I wrote for DataScale.
About the Speaker
Adam Hutson Data Architect, DataScale
Adam is Data Architect for DataScale, Inc. He is a seasoned data professional with experience designing & developing large-scale, high-volume database systems. Adam previously spent four years as Senior Data Engineer for Expedia building a distributed Hotel Search using Cassandra 1.1 in AWS. Having worked with Cassandra since version 0.8, he was early to recognize the value Cassandra adds to Enterprise data storage. Adam is also a DataStax Certified Cassandra Developer.
What We Learned About Cassandra While Building go90 (Christopher Webster & Th...DataStax
Go90 is a mobile entertainment platform offering access to live and on demand videos. We built the web services platform and social features like activity feed for go90 by making heavy use of Cassandra and Scala, and would like to share what we learned during development and while operating go90. In this presentation, we cover our data model evolution from the initial prototypes to the current production version and the significant performance gain by using a better data model. We will explain how we apply time series data modeling and the benefits of using expiring columns with DateTieredCompactionStrategy. We will also talk about interesting experiences related to table modifications, tombstones and table pagination. On the operations side, we will discuss our findings on java driver usage, performance, monitoring, cluster maintenance, version upgrade, 2-way ssl and many more. We hope you can learn from our mistakes instead of making them yourself!
About the Speakers
Christopher Webster Software Engineer, AOL
Christopher Webster works on the web services platform for the go90 AOL project. Previously he was a Computer Scientist for the Mission Control Technologies project at NASA Ames Center. Chris worked as a senior staff engineer at Sun Microsystems for Project zembly, the cloud development and deployment environment as well as technical lead in many NetBeans projects. Chris is an author of the NetBeans Field Guide and Assemble the Social Web With Zembly.
Thomas Ng Software Engineer, AOL
Thomas Ng is a software engineer at AOL, building web services for the go90 mobile entertainment platform using Cassandra, Scala and Kafka.
Understanding Data Partitioning and Replication in Apache CassandraDataStax
This document provides an overview of data partitioning and replication in Apache Cassandra. It discusses how Cassandra partitions data across nodes using configurable strategies like random and ordered partitioning. It also explains how Cassandra replicates data for fault tolerance using a replication factor and different strategies like simple and network topology. The network topology strategy places replicas across racks and data centers. Various snitches help Cassandra determine network topology.
What is in All of Those SSTable Files Not Just the Data One but All the Rest ...DataStax
Have you ever wondered what is in all of those SSTable files and how it helps Cassandra find and manage your data? If you go to the Datastax website they will give you a high level explanation of what is in each file. In this talk we will go much deeper explaining each file and walking through a dump of its contents. We will also explore the differences between Cassandra 2.1 and 3.4.
About the Speaker
John Schulz Prinicipal Consultant, The Pythian Group
John has 40 of years experience working with data. Data in files and in Databases from flat files through ISAM to relational databases and most recently NoSQL. For the last 15 he's worked on a variety of Open source technologies including MySQL, PostgreSQL, Cassandra, Riak, Hadoop and Hbase. He has been working with Cassandra since 2010. For the last eighteen months he has been working for The Pythian Group to help their customers improve their existing databases and select new ones.
Apache Cassandra is a free, distributed, open source, and highly scalable NoSQL database that is designed to handle large amounts of data across many commodity servers. It provides high availability with no single point of failure, linear scalability, and tunable consistency. Cassandra's architecture allows it to spread data across a cluster of servers and replicate across multiple data centers for fault tolerance. It is used by many large companies for applications that require high performance, scalability, and availability.
Webinar - DataStax Enterprise 5.1: 3X the operational analytics speed, help f...DataStax
Let’s get up close with the latest and greatest in DataStax Enterprise. Find out everything you need to know about the latest features, as we dive into the launch of DataStax Enterprise 5.1, OpsCenter 6.1 and Studio 2.0.
View recording: https://youtu.be/Vhu6ZkQUR0M
Explore all DataStax webinars: http://www.datastax.com/resources/webinars
Projeto de Banco de Dados: Gerenciamento de Locadora de Vídeo (parte escrita)Gleyciana Garrido
A necessidade de armazenar, organizar e recuperar informações é crescente no mundo moderno e estão visivelmente presente no nosso cotidiano como é o caso dos cadastros de clientes e de funcionário de uma empresa que são exemplos de iniciadores dos modernos bancos de dados, pois buscam as funções básicas do mesmo:
• Acrescentar novos dados;
• Localizar os dados armazenados anteriormente;
• Alterar dados ou apagar aqueles que não são mais úteis.
Hoje é impossível lidar com um grande número de informações usando métodos tradicionais surgindo assim a necessidade da utilização dos bancos de dados no nosso dia a dia.
Banco de Dados é uma coleção de dados inter-relacionados, representando informações sobre um domínio específico.
Um Sistema de Banco de Dados consiste em uma coleção de dados inter-relacionados e uma coleção de programas para prover o acesso a esses dados.
O objetivo principal de um sistema de banco de dados é possibilitar um ambiente que seja adequado e eficiente para uso na recuperação e armazenamento de informações.
The document discusses Cassandra and how it is used by various companies for applications requiring scalability, high performance, and reliability. It summarizes Cassandra's capabilities and how companies like Netflix, Backupify, Ooyala, and Formspring have used Cassandra to handle large and increasing amounts of data and queries in a scalable and cost-effective manner. The document also describes DataStax's commercial offerings around Apache Cassandra including support, tools, and services.
Webinar: DataStax Enterprise 5.0 What’s New and How It’ll Make Your Life EasierDataStax
Want help building applications with real-time value at epic scale? How about solving your database performance and availability issues? Then, you want to hear more about DataStax Enterprise 5.0. Join this webinar to learn what’s new in DSE 5.0 ‒ the largest software release to date at DataStax. DSE 5.0 introduces multi-model support including Graph and JSON data models along with a ton of new and enhanced enterprise database capabilities.
View webinar recording here: https://youtu.be/3pfm4ntASJ0
Webinar: Don't Leave Your Data in the DarkDataStax
As new types of data sources emerge from cloud, mobile devices, social media and machine sensor devices, traditional databases hit the ceiling due to today’s dynamic, data-volume driven business culture.
Join us in this online webinar and learn how you can incorporate a modern, NoSQL platform into daily operations to optimize and simplify data performance. DataStax recently announced DataStax Enterprise 4.0, a production-certified version of Apache Cassandra with an in-memory option, enterprise search, advanced security features and visual management tools. Give your developers a simple and powerful way to deliver the information your customers care about most—unconstrained by the complexities and high costs of traditional database systems.
Learn how to:
- Easily assign data based on its performance needs on traditional spinning disk, SSD or in-memory. All in the same database instance
- Leverage DataStax’s built-in enhancements for broader information search and analysis even with many thousands of concurrent requests
- Visually monitor, manage, and fine-tune your environment to get the most of your online data
Microsoft Fabric is the next version of Azure Data Factory, Azure Data Explorer, Azure Synapse Analytics, and Power BI. It brings all of these capabilities together into a single unified analytics platform that goes from the data lake to the business user in a SaaS-like environment. Therefore, the vision of Fabric is to be a one-stop shop for all the analytical needs for every enterprise and one platform for everyone from a citizen developer to a data engineer. Fabric will cover the complete spectrum of services including data movement, data lake, data engineering, data integration and data science, observational analytics, and business intelligence. With Fabric, there is no need to stitch together different services from multiple vendors. Instead, the customer enjoys end-to-end, highly integrated, single offering that is easy to understand, onboard, create and operate.
This is a hugely important new product from Microsoft and I will simplify your understanding of it via a presentation and demo.
Agenda:
What is Microsoft Fabric?
Workspaces and capacities
OneLake
Lakehouse
Data Warehouse
ADF
Power BI / DirectLake
Resources
Building a scalable analytics environment to support diverse workloadsAlluxio, Inc.
Data Orchestration Summit 2020 organized by Alluxio
https://www.alluxio.io/data-orchestration-summit-2020/
Building a scalable analytics environment to support diverse workloads
Tom Panozzo, Chief Technology Officer (Aunalytics)
About Alluxio: alluxio.io
Engage with the open source community on slack: alluxio.io/slack
So you got a handle on what Big Data is and how you can use it to find business value in your data. Now you need an understanding of the Microsoft products that can be used to create a Big Data solution. Microsoft has many pieces of the puzzle and in this presentation I will show how they fit together. How does Microsoft enhance and add value to Big Data? From collecting data, transforming it, storing it, to visualizing it, I will show you Microsoft’s solutions for every step of the way
Webinar: The Performance Challenge: Providing an Amazing Customer Experience ...DataStax
The document discusses challenges with cloud applications and provides an overview of DataStax Enterprise (DSE) as a solution. Key points include: DSE is based on Apache Cassandra and provides multiple data models, extensions for production use, and management tools. It addresses challenges like performance, scalability, and availability. The latest DSE 5.0 release adds support for graph and improves development and management experiences. Real-world customer examples needing massive scale are also presented.
Major trends in big data, web/cloud, mobile, and unstructured data are driving demands for new database solutions. Relational databases struggle to meet today's requirements for sub-millisecond response times, massive scalability, and handling unstructured data at high speeds. Couchbase is a NoSQL database that addresses these demands through its flexible data model, consistent high performance at scale, high availability, easy and affordable scalability, and ability to function as both a cache and primary database. It allows for data consolidation, online upgrades and operations, and simplified administration through built-in tools and APIs.
Differentiate Big Data vs Data Warehouse use cases for a cloud solutionJames Serra
It can be quite challenging keeping up with the frequent updates to the Microsoft products and understanding all their use cases and how all the products fit together. In this session we will differentiate the use cases for each of the Microsoft services, explaining and demonstrating what is good and what isn't, in order for you to position, design and deliver the proper adoption use cases for each with your customers. We will cover a wide range of products such as Databricks, SQL Data Warehouse, HDInsight, Azure Data Lake Analytics, Azure Data Lake Store, Blob storage, and AAS as well as high-level concepts such as when to use a data lake. We will also review the most common reference architectures (“patterns”) witnessed in customer adoption.
The document provides an overview of leading big data companies in 2021 and the Apache Hadoop stack, including related Apache software and the NIST big data reference architecture. It lists over 50 big data companies, including Accenture, Actian, Aerospike, Alluxio, Amazon Web Services, Cambridge Semantics, Cloudera, Cloudian, Cockroach Labs, Collibra, Couchbase, Databricks, DataKitchen, DataStax, Denodo, Dremio, Franz, Gigaspaces, Google Cloud, GridGain, HPE, HVR, IBM, Immuta, InfluxData, Informatica, IRI, MariaDB, Matillion, Melissa Data
Embarking on building a modern data warehouse in the cloud can be an overwhelming experience due to the sheer number of products that can be used, especially when the use cases for many products overlap others. In this talk I will cover the use cases of many of the Microsoft products that you can use when building a modern data warehouse, broken down into four areas: ingest, store, prep, and model & serve. It’s a complicated story that I will try to simplify, giving blunt opinions of when to use what products and the pros/cons of each.
Scaling Security on 100s of Millions of Mobile Devices Using Apache Kafka® an...confluent
Lookout is a mobile cybersecurity company that ingests telemetry data from hundreds of millions of mobile devices to provide security scanning and apply corporate policies. They were facing scaling issues with their existing data pipeline and storage as the number of devices grew. They decided to use Apache Kafka and Confluent Platform for scalable data ingestion and ScyllaDB as the persistent store. Testing showed the new architecture could handle their target of 1 million devices with low latency and significantly lower costs compared to their previous DynamoDB-based solution. Key learnings included improving Kafka's default partitioner and working through issues during proof of concept testing with ScyllaDB.
Cloudera Enterprise is a data platform that provides:
1) Data science and engineering capabilities for developing and serving predictive models.
2) An operational database for real-time insights.
3) A modern data warehouse.
It can be deployed across multiple cloud platforms and on-premises, and supports various analytic tools. Cloudera Enterprise also provides security, governance, and automation features.
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...DATAVERSITY
Thirty years is a long time for a technology foundation to be as active as relational databases. Are their replacements here?
In this webinar, we look at this foundational technology for modern Data Management and show how it evolved to meet the workloads of today, as well as when other platforms make sense for enterprise data.
Getting real-time analytics for devices/application/business monitoring from trillions of events and petabytes of data like companies Netflix, Uber, Alibaba, Paypal, Ebay, Metamarkets do.
Webinar | From Zero to 1 Million with Google Cloud Platform and DataStaxDataStax
Google Cloud Platform delivers the industry’s leading cloud-based services to create anything from simple websites to complex applications. DataStax delivers Apache Cassandra™, the leading distributed database technology, to the enterprise. Together, DataStax Enterprise on Google Cloud Platform delivers the performance, agility, infinite elasticity and innovation organizations need to build high-performance, highly-available online applications.
Join Allan Naim, Global Product Lead at Google Cloud Platform and Darshan Rawal, Sr. Director of Product Management at DataStax as they share their expertise on why DataStax and Google Cloud Platform deliver the industry’s most robust Infrastructure-as-a Service (IaaS) platform and how your organization find success with NoSQL and Cloud services.
View to learn how to:
- Handle more than 1 Million requests per second for data-intensive online applications with Apache Cassandra on Google Cloud Platform
- Leverage the technology infrastructure and global network powering Google’s search engine with DataStax to deploy blazing-fast and always-on applications
- Transform your business into a data-driven company, a change that is critical as future success and discoveries hinge on the ability to quickly take action on data
Xanadu is the most advanced big data management platform technology that is developed to take care of the requirement of high speed processing of diverse type of high volume data. Xanadu can provide a massively scalable fault tolerance system that can connect multiple storages. Xanadu can provide high throughput and low latency data management system. Xanadu provides ACID compliance data management system. Xanadu is designed to be a composable architecture in order to be selected and integrated with other big data system elements such as IT infrastructures and data analytics to satisfy specific big data use requirements. Xanadu is designed for the heaviest workloads that can supports concurrent queries without conflict. For example, Xanadu can support thousands of sensors accessing and updating data at the same time. Thus, Xanadu enables real-time IoT analytics for industrial IoT applications. Xanadu also can support data-intensive distributed deep learning applications involving massive volume multimedia data.
Using real time big data analytics for competitive advantageAmazon Web Services
Many organisations find it challenging to successfully perform real-time data analytics using their own on premise IT infrastructure. Building a system that can adapt and scale rapidly to handle dramatic increases in transaction loads can potentially be quite a costly and time consuming exercise.
Most of the time, infrastructure is under-utilised and it’s near impossible for organisations to forecast the amount of computing power they will need in the future to serve their customers and suppliers.
To overcome these challenges, organisations can instead utilise the cloud to support their real-time data analytics activities. Scalable, agile and secure, cloud-based infrastructure enables organisations to quickly spin up infrastructure to support their data analytics projects exactly when it is needed. Importantly, they can ‘switch off’ infrastructure when it is not.
BluePi Consulting and Amazon Web Services (AWS) are giving you the opportunity to discover how organisations are using real time data analytics to gain new insights from their information to improve the customer experience and drive competitive advantage.
Choosing the Right Database: Exploring MySQL Alternatives for Modern Applicat...Mydbops
Choosing the Right Database: Exploring MySQL Alternatives for Modern Applications by Bhanu Jamwal, Head of Solution Engineering, PingCAP at the Mydbops Opensource Database Meetup 14.
This presentation discusses the challenges in choosing the right database for modern applications, focusing on MySQL alternatives. It highlights the growth of new applications, the need to improve infrastructure, and the rise of cloud-native architecture.
The presentation explores alternatives to MySQL, such as MySQL forks, database clustering, and distributed SQL. It introduces TiDB as a distributed SQL database for modern applications, highlighting its features and top use cases.
Case studies of companies benefiting from TiDB are included. The presentation also outlines TiDB's product roadmap, detailing upcoming features and enhancements.
1) Cloud platforms can support big data workloads through virtualization which provides agility, isolation, lower costs, and operational efficiency.
2) Modern networks with spine-leaf architectures are well-suited for big data by providing uniform high bandwidth connectivity. This allows for new converged and separated storage models.
3) New distributed storage solutions like HDFS, Ceph, and scale-out NAS provide much higher capacity at lower costs than traditional SAN/NAS. They also offer features like erasure coding, snapshots, cloning and geo-replication.
Is Your Enterprise Ready to Shine This Holiday Season?DataStax
Be a holiday hero—not a sorry statistic. View this on-demand webinar to learn how to drive revenue, business growth, customer satisfaction, and loyalty during the holiday season, and achieve operational excellence (and sanity!) at the same time. You’ll also hear real-world stories of companies that have experienced Black Friday nightmares—and learn how they turned things back around.
View webinar: https://pages.datastax.com/20191003-NAM-Webinar-IsYourEnterpriseReadytoShinethisHolidaySeason_1-Registration-LP.html
Explore all DataStax webinars: www.datastax.com/webinars
Designing Fault-Tolerant Applications with DataStax Enterprise and Apache Cas...DataStax
Data resiliency and availability are mission-critical for enterprises today—yet we live in a world where outages are an everyday occurrence. Whether the problem is a single server failure or losing connectivity to an entire data center, if your applications aren’t designed to be fault tolerant, recovery from an outage can be painful and slow. Watch this on-demand webinar to look at best practices for developing fault-tolerant applications with DataStax Drivers for Apache Cassandra and DataStax Enterprise (DSE).
View recording: https://youtu.be/NT2-i3u5wo0
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
Running DataStax Enterprise in VMware Cloud and Hybrid EnvironmentsDataStax
To simplify deploying and managing modern applications, enterprises have been combining the benefits of hyperconverged infrastructure (HCI) with the performance and scale of a NoSQL database — and the results have been remarkable. With this combination, IT organizations have experienced more agility, improved reliability, and better application performance. Watch this on-demand webinar where you’ll learn specifically how VMware HCI with DataStax Enterprise (DSE) and Apache Cassandra™ are transforming the enterprise.
View recording: https://youtu.be/FCLGHMIB0L4
Explore all DataStax Webinars: https://www.datastax.com/resources/webinars
Best Practices for Getting to Production with DataStax Enterprise GraphDataStax
The document provides five tips for getting DataStax Enterprise Graph into production:
1) Know your data distributions and important relationships.
2) Understand your access patterns and model the data for common queries.
3) Optimize query performance by filtering vertices, choosing starting points to reduce edges traversed, and adding shortcuts.
4) Design a supernode strategy such as modeling supernodes as properties, adding edge indexes, or making vertices more granular.
5) Embrace a multi-model approach using the best tool like DSE Graph for complex connected data queries.
Webinar | Data Management for Hybrid and Multi-Cloud: A Four-Step JourneyDataStax
Data management may be the hardest part of making the transition to the cloud, but enterprises including Intuit and Macy’s have figured out how to do it right. So what do they know that you might not? Join Robin Schumacher, Chief Product Officer at DataStax as he explores best practices for defining and implementing data management strategies for the cloud. He outlines a four-step journey that will take you from your first deployment in the cloud through to a true intercloud implementation and walk through a real-world use case where a major retailer has evolved through the four phases over a period of four years and is now benefiting from a highly resilient multi-cloud deployment.
View webinar: https://youtu.be/RrTxQ2BAxjg
Webinar | How to Understand Apache Cassandra™ Performance Through Read/Writ...DataStax
In this webinar, you will leverage free and open source tools as well as enterprise-grade utilities developed by DataStax to get a solid grasp on the performance of a masterless distributed database like Cassandra. You’ll also get the opportunity to walk through DataStax Enterprise Insights dashboards and see exactly how to identify performance bottlenecks.
View Recording: https://youtu.be/McZg_MMzVjI
Webinar | Better Together: Apache Cassandra and Apache KafkaDataStax
In this webinar, you’ll also be introduced to DataStax Apache Kafka Connector, and get a brief demonstration of this groundbreaking technology. You’ll directly experience how this tool can help you stream data from Kafka topics into DataStax Enterprise versions of Cassandra. The future of your organization won’t wait. Register now to reserve your spot in this exciting new webinar.
Youtube: https://youtu.be/HmkNb8twUNk
Top 10 Best Practices for Apache Cassandra and DataStax EnterpriseDataStax
No matter how diligent your organization is at driving toward efficiency, databases are complex and it’s easy to make mistakes on your way to production. The good news is, these mistakes are completely avoidable. In this webinar, Jeff Carpenter shares with you exactly how to get started in the right direction — and stay on the path to a successful database launch.
View recording: https://youtu.be/K9Zj3bhjdQg
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
Introduction to Apache Cassandra™ + What’s New in 4.0DataStax
Apache Cassandra has been a driving force for applications that scale for over 10 years. This open-source database now powers 30% of the Fortune 100.Now is your chance to get an inside look, guided by the company that’s responsible for 85% of the code commits.You won’t want to miss this deep dive into the database that has become the power behind the moment — the force behind game-changing, scalable cloud applications - Patrick McFadin, VP Developer Relations at DataStax, is going behind the Cassandra curtain in an exclusive webinar.
View recording: https://youtu.be/z8fLn8GL5as
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
Webinar: How Active Everywhere Database Architecture Accelerates Hybrid Cloud...DataStax
In this webinar, we’ll discuss how an Active Everywhere database—a masterless architecture where multiple servers (or nodes) are grouped together in a cluster—provides a consistent data fabric between on-premises data centers and public clouds, enabling enterprises to effortlessly scale their hybrid cloud deployments and easily transition to the new hybrid cloud world, without changes to existing applications.
View recording: https://youtu.be/ob6tr-9YiF4
Webinar | Aligning GDPR Requirements with Today's Hybrid Cloud RealitiesDataStax
This webinar discussed how DataStax and Thales eSecurity can help organizations comply with GDPR requirements in today's hybrid cloud environments. The key points are:
1) GDPR compliance and hybrid cloud are realities organizations must address
2) A single "point solution" is insufficient - partnerships between data platform and security services providers are needed
3) DataStax and Thales eSecurity can provide the necessary access controls, authentication, encryption, auditing and other capabilities across disparate environments to meet the 7 key GDPR security requirements.
Designing a Distributed Cloud Database for DummiesDataStax
Join Designing a Distributed Cloud Database for Dummies—the webinar. The webinar “stars” industry vet Patrick McFadin, best known among developers for his seven years at Apache Cassandra, where he held pivotal community roles. Register for the webinar today to learn: why you need distributed cloud databases, the technology you need to create the best used experience, the benefits of data autonomy and much more.
View the recording: https://youtu.be/azC7lB0QU7E
To explore all DataStax webinars: https://www.datastax.com/resources/webinars
How to Power Innovation with Geo-Distributed Data Management in Hybrid CloudDataStax
Most enterprises understand the value of hybrid cloud. In fact, your enterprise is already working in a multi-cloud or hybrid cloud environment, whether you know it or not. View this SlideShare to gain a greater understanding of the requirements of a geo-distributed cloud database in hybrid and multi-cloud environments.
View recording: https://youtu.be/tHukS-p6lUI
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
How to Evaluate Cloud Databases for eCommerceDataStax
The document discusses how ecommerce companies need to evaluate cloud databases to handle high transaction volumes, real-time processing, and personalized customer experiences. It outlines how DataStax Enterprise (DSE), which is built on Apache Cassandra, provides an always-on, distributed database designed for hybrid cloud environments. DSE allows companies to address the five key dimensions of contextual, always-on, distributed, scalable, and real-time requirements through features like mixed workloads, multi-model flexibility, advanced security, and faster performance. Case studies show how large ecommerce companies like eBay use DSE to power recommendations and handle high volumes of traffic and data.
Webinar: DataStax Enterprise 6: 10 Ways to Multiply the Power of Apache Cassa...DataStax
Today’s customers want experiences that are contextual, always on, and above all — delightful. To be able to provide this, enterprises need a distributed, hybrid cloud-ready database that can easily crunch massive volumes of data from disparate sources while offering data autonomy and operational simplicity. Don’t miss this webinar, where you’ll learn how DataStax Enterprise 6 maintains hybrid cloud flexibility with all the benefits of a distributed cloud database, delivers all the advantages of Apache Cassandra with none of the complexities, doubles performance, and provides additional capabilities around robust transactional analytics, graph, search, and more.
View recording: https://youtu.be/tuiWAt2jwBw
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
Webinar: DataStax and Microsoft Azure: Empowering the Right-Now Enterprise wi...DataStax
This document discusses the partnership between DataStax and Microsoft Azure to empower enterprises with real-time applications in the cloud. It outlines how hybrid cloud is a strategic imperative, and how the DataStax Enterprise platform combined with Azure provides a hybrid cloud data platform for always-on applications. Examples are given of Microsoft Office 365, Komatsu, and IHS Markit using this solution to power use cases and gain benefits like increased performance, scalability, and cost savings.
Webinar - Real-Time Customer Experience for the Right-Now Enterprise featurin...DataStax
Welcome to the Right-Now Economy. To win in the Right-Now Economy, your enterprise needs to be able to provide delightful, always-on, instantaneously responsive applications via a data layer that can handle data rapidly, in real time, and at cloud scale. Don’t miss our upcoming webinar in which Forrester Principal Analyst Brendan Witcher will discuss why a singular, contextual, 360-degree view of the customer in real-time is critical to CX success and how companies are using data to deliver real-time personalization and recommendations.
View recording: https://youtu.be/e6prezfIGMY
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
Datastax - The Architect's guide to customer experience (CX)DataStax
The document discusses how DataStax Enterprise can help companies deliver superior customer experiences in the "right-now economy" by providing a unified data layer for customer-related use cases. It describes how DSE provides contextual customer views in real-time, hybrid cloud capabilities, massive scalability and continuous availability, integrated security, and a flexible data model to support evolving customer data needs. The document also provides an example of how Macquarie Bank uses DSE to drive their customer experience initiatives and transform their digital presence.
An Operational Data Layer is Critical for Transformative Banking ApplicationsDataStax
Customer expectations are changing fast, while customer-related data is pouring in at an unprecedented rate and volume. Join this webinar, to hear leading experts from DataStax, discuss how DataStax Enterprise, the data management platform trusted by 9 out of the top 15 global banks, enables innovation and industry transformation. They’ll cover how the right data management platform can help break down data silos and modernize old systems of record as an operational data layer that scales to meet the distributed, real-time, always available demands of the enterprise. Register now to learn how the right data management platform allows you to power innovative banking applications, gain instant insight into comprehensive customer interactions, and beat fraud before it happens.
Video: https://youtu.be/319NnKEKJzI
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
Becoming a Customer-Centric Enterprise Via Real-Time Data and Design ThinkingDataStax
Customer expectations are changing fast, while customer-related data is pouring in at an unprecedented rate and volume. How can you contextualize and analyze all this customer data in real time to meet increasingly demanding customer expectations? Join Mike Rowland, Director and National Practice Leader for CX Strategy at West Monroe Partners, and Kartavya Jain, Product Marketing Manager at DataStax, for an in-depth conversation about how customer experience frameworks, driven by Design Thinking, can help enterprises: understand their customers and their needs, define their strategy for real-time CX, create value from contextual and instant insights.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdfflufftailshop
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
2. Database Challenge #1
Modern businesses need a scalable, high-performance,
easy to use database that is cost effective…
3. Database Challenge #2
Modern businesses need to be able to manage large volumes
of real-time data AND run analytic operations on that same
data as quickly as possible to make business decisions…
Real-Time Analytic
Databases Databases
Data Movement
ETL Routines
4. What is DataStax Enterprise?
DataStax Enterprise is a…
› Distributed…
› Fast…
› Scalable…
› Highly available…
› Easy to use…
smart database platform built on Apache Cassandra that delivers
optimal performance either on premise or in the cloud for modern
applications that manage both real-time and analytic data
workloads.
5. What is DataStax Enterprise??
1. DataStax Enterprise
Database Server
2. OpsCenter Enterprise
Management solution
3. Expert production
support & consultative
services
6. DataStax Enterprise Server
DataStax Enterprise Server inherits all the enterprise-
class features of Cassandra.
› Big Data scalability
› Fast /Linear scale performance
› No single point of failure
› Enterprise / multi-data center / Cloud data distribution
› Read/Write Anywhere capable
› Flexible schema
› Tunable data consistency
› Data compression
› Familiar SQL-Like language – CQL
› Easy setup
› No special hardware needed
› No special caching layer needed
7. DataStax Enterprise Server
DataStax Enterprise combines real-time and analytic data
management in one database.
› Fast real-time database
› Hadoop analytic database
› Fully 100% Hadoop compatible –
MapReduce, Hive, and Pig
› Uses CassandraFS as Hadoop HDFS
storage
› No single points of failure as in Apache
Hadoop distribution
› Faster than Apache Hadoop distribution
› No complex ETL processes or tools
› Data replicated among real-time and
analytic nodes
8. DataStax Enterprise Server
DataStax Enterprise provides for smart workload isolation
between real-time/analytic activities.
› Real-time and analytic workloads do not
compete for data or compute resources
› Analytic data is transparently replicated 2 3
to nodes devoted to analytic tasks
› Can read/write on any node Real-Time
Replication
› The platform is smart enough to keep 1 4
real-time and analytic workloads
separated Analytics
6 5
9. OpsCenter Enterprise
OpsCenter Enterprise supplies management, monitoring,
and control over DataStax Enterprise servers from a single,
web-based console.
› Visual, browser-based user interface
› Administration tasks carried out in
point-and-click fashion
› Allows for visual rebalance of data
across a cluster
› Contains proactive alerts that warn
of impending issues
› Built-in external notification abilities
› Monitors all Hadoop operations
10. Expert Production Support
DataStax Enterprise includes production support and
consultative services from the Cassandra experts.
› Support service level agreements
that range from business hours to
24x7x365 for applications that
need around-the-clock coverage
› Consultative support for assistance
on architecture, design, and
tuning
› Certified quarterly service packs
that keep you up to date on all
your software
› Hot-fix support for emergency
maintenance situations
11. Where Can I use DataStax Enterprise?
DataStax Enterprise is perfect for the following use cases:
› Real-time systems that need high
availability and need to scale past
one machine
› Big Data environments
› Time-series applications
› Telecommunication systems
needing fast performance and
extreme high availability
› Sensor driven systems
› Click stream data management
› Web retail and session
management applications
12. DataStax Enterprise
Provides modern businesses with a scalable, high-performance, easy to use, cost-effective
database that transparently manages both real-time and analytic data in the same
database.
Scalable Operational Cost Real-Time +
Performance Ease Effective Analytics
DataStax Enterprise ✔ ✔ ✔ ✔
Oracle Exadata ✔ ✔ ✖ ✔
MySQL ✖ ✔ ✔ ✖
MongoDB ✖ ✔ ✔ ✖
Sharding (MySQL/Mongo) ✔ ✖ ✔ ✖
HBase ✔ ✖ ✔ ✖
Oracle NoSQL DB ✔ ✖ ? ✔
13. Next Steps
Download DataStax Enterprise and try it in your own
environment.
› Go to www.datastax.com/
software
› Download a copy of DataStax
Enterprise
› Installs and configures in minutes
› Includes a 30-day trial of all
functionality and tools
14. For More Information
www.datastax.com
› White paper: DataStax Enterprise
› White paper: NoSQL in the Enterprise
› White paper: Big Data – Beyond the Hype
› Datasheets
› User/Customer Case Studies
› FAQ’s