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
Expert IT analyst groups like Wikibon forecast that NoSQL database usage will grow at a compound rate of 60% each year for the next five years, and Gartner Groups says NoSQL databases are one of the top trends impacting information management in 2013. But is NoSQL right for your business? How do you know which business applications will benefit from NoSQL and which won't? What questions do you need to ask in order to make such decisions?
If you're wondering what NoSQL is and if your business can benefit from NoSQL technology, join DataStax for the Webinar, "How to Tell if Your Business Needs NoSQL". This to-the-point presentation will provide practical litmus tests to help you understand whether NoSQL is right for your use case, and supplies examples of NoSQL technology in action with leading businesses that demonstrate how and where NoSQL databases can have the greatest impact."
Speaker: Robin Schumacher, Vice President of Products at DataStax
Robin Schumacher has spent the last 20 years working with databases and big data. He comes to DataStax from EnterpriseDB, where he built and led a market-driven product management group. Previously, Robin started and led the product management team at MySQL for three years before they were bought by Sun (the largest open source acquisition in history), and then by Oracle. He also started and led the product management team at Embarcadero Technologies, which was the #1 IPO in 2000. Robin is the author of three database performance books and frequent speaker at industry events. Robin holds BS, MA, and Ph.D. degrees from various universities.
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
Don’t Get Caught in a PCI Pickle: Meet Compliance and Protect Payment Card Da...DataStax
Data security is an absolute requirement for any organization – large or small – that handles debit, credit and pre-paid cards. But navigating, understanding and complying with PCI-DSS (Payment Card Industry – Data Security Standards) regulations can be tough. In this webinar, we’ll examine the guidelines for securing payment card data and show you how a combined solution from DataStax and Gazzang can put you on course for compliance.
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.
This webinar follows the process of evaluating different big data platforms based on varying use cases and business requirements, and explains how big data professionals can choose the right technology to transform their business. During this session, Ooyala CTO, Sean Knapp will discuss why Ooyala selected DataStax as the big data platform powering their business, and how they provide real-time video analytics that help media companies create deeply personalized viewing experiences for more than 1/4 of all Internet video viewers each month.
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.
Expert IT analyst groups like Wikibon forecast that NoSQL database usage will grow at a compound rate of 60% each year for the next five years, and Gartner Groups says NoSQL databases are one of the top trends impacting information management in 2013. But is NoSQL right for your business? How do you know which business applications will benefit from NoSQL and which won't? What questions do you need to ask in order to make such decisions?
If you're wondering what NoSQL is and if your business can benefit from NoSQL technology, join DataStax for the Webinar, "How to Tell if Your Business Needs NoSQL". This to-the-point presentation will provide practical litmus tests to help you understand whether NoSQL is right for your use case, and supplies examples of NoSQL technology in action with leading businesses that demonstrate how and where NoSQL databases can have the greatest impact."
Speaker: Robin Schumacher, Vice President of Products at DataStax
Robin Schumacher has spent the last 20 years working with databases and big data. He comes to DataStax from EnterpriseDB, where he built and led a market-driven product management group. Previously, Robin started and led the product management team at MySQL for three years before they were bought by Sun (the largest open source acquisition in history), and then by Oracle. He also started and led the product management team at Embarcadero Technologies, which was the #1 IPO in 2000. Robin is the author of three database performance books and frequent speaker at industry events. Robin holds BS, MA, and Ph.D. degrees from various universities.
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
Don’t Get Caught in a PCI Pickle: Meet Compliance and Protect Payment Card Da...DataStax
Data security is an absolute requirement for any organization – large or small – that handles debit, credit and pre-paid cards. But navigating, understanding and complying with PCI-DSS (Payment Card Industry – Data Security Standards) regulations can be tough. In this webinar, we’ll examine the guidelines for securing payment card data and show you how a combined solution from DataStax and Gazzang can put you on course for compliance.
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.
This webinar follows the process of evaluating different big data platforms based on varying use cases and business requirements, and explains how big data professionals can choose the right technology to transform their business. During this session, Ooyala CTO, Sean Knapp will discuss why Ooyala selected DataStax as the big data platform powering their business, and how they provide real-time video analytics that help media companies create deeply personalized viewing experiences for more than 1/4 of all Internet video viewers each month.
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.
Christos Kalantzis, Engineering Manager of Cloud Persistence Engineering at Netflix, will talk about his transition from a database administrator to a database engineer working with cutting edge big data technology. He will provide expertise and insight into how he learned about new technologies and the use cases he now gets to work on.
According to a recent Harvard Business Review study, there’s only a 43% chance that customers who have a poor experience will stick with you for the next 12 months. Contrast that to the 74% that will remain your customer if they have a great experience. Learn how Macy’s, a leading American department store chain founded in 1858 with over 750 stores in North America, is transforming their customer experience with DataStax Enterprise.
Webinar recording: https://youtu.be/CiUVxh6Ov_E
View current and past DataStax webinars: http://www.datastax.com/resources/webinars
Webinar | Real-time Analytics for Healthcare: How Amara Turned Big Data into ...DataStax
Increasing regulations on patient data, expanding and ever-changing data volumes and formats, and the need for real-time analytics are adding new levels of complexity to database platforms, forcing Healthcare IT management to rethink legacy database environments.
Join Christopher Rosin, Ph.D., Chief Scientist at Amara Health Analytics, as he shares his knowledge about implementing a real-time predictive analytics platform to support clinicians in the early detection of critical disease states. Based on years of research and hands-on experience, Chris provides practical steps for guiding DataStax Enterprise initiatives from evaluation to successful implementation.
Watch to learn:
- The challenges in selecting the right database technology for dynamic, real-time data without the rigidity of relational systems
- How Amara’s SaaS model delivers real-time decision support, leveraging large amounts of unstructured and structured clinical data
- How DataStax Enterprise helps meet strict requirements on patient data privacy, data integrity, and system performance
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.
Muvr is a real-time personal trainer system. It must be highly available, resilient and responsive, and so it relies on heavily on Spark, Mesos, Akka, Cassandra, and Kafka—the quintuple also known as the SMACK stack. In this talk, we are going to explore the architecture of the entire muvr system, exploring, in particular, the challenges of ingesting very large volume of data, applying trained models on the data to provide real-time advice to our users, and training & evaluating new models using the collected data. We will specifically emphasize on how we have used Cassandra for consuming lots of fast incoming biometric data from devices and sensors, and how to securely access the big data sets from Cassandra in Spark to compute the models.
We will finish by showing the mechanics of deploying such a distributed application. You will get a clear understanding of how Mesos, Marathon, in conjunction with Docker, is used to build an immutable infrastructure that allows us to provide reliable service to our users and a great environment for our engineers.
IoT devices generate high volume, continuous streams of data that must be analyzed in-memory – before they land on disk – to identify potential outliers/failures or business opportunities. Companies need to build robust yet flexible applications that can instantly act on the information derived from analyzing their IoT data. Attend this session to learn how you can easily handle real-time data acquisition across structured and semi-structured data, as well as windowing, fast in-memory streaming analytics, event correlation, visualization, alerts, workflows and smart data storage.
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: Transforming Customer Experience Through an Always-On Data PlatformDataStax
According to Forrester Research, leaders in customer experience drive 5.1X revenue growth over laggards. And although 84% of companies aspire to be a leader in this space, only 1 in 5 successfully delivers good or great customer experience. Join us for our next webinar where Mike Gualtieri, VP and Principal Analyst at Forrester Research and Rajay Rai, Head of Digital Engineering at Macquarie Bank will share how Customer Experience can drive business results such as faster revenue growth, longer customer retention, greater employee engagement and improved profit margins.
View webinar recording: https://youtu.be/eEc5tx-nHvI
Explore past DataStax webinars: http://www.datastax.com/resources/webinars
Big Data Day LA 2016/ Hadoop/ Spark/ Kafka track - Building an Event-oriented...Data Con LA
While we frequently talk about how to build interesting products on top of machine and event data, the reality is that collecting, organizing, providing access to, and managing this data is where most people get stuck. In this session, we’ll follow the flow of data through an end to end system built to handle tens of terabytes per day of event-oriented data, providing real time streaming, in-memory, SQL, and batch access to this data. We’ll go into detail on how open source systems such as Hadoop, Kafka, Solr, and Impala/Hive are actually stitched together; describe how and where to perform data transformation and aggregation; provide a simple and pragmatic way of managing event metadata; and talk about how applications built on top of this platform get access to data and extend its functionality. This session is especially recommended for data infrastructure engineers and architects planning, building, or maintaining similar systems.
Webinar on the updated Payment Services Directive (PSD2) and how it will affect financial institutions when introduced in 2018. This webinar outlines the challenges facing financial institutions and how API connectivity can help them to not only survive but thrive in an increasingly competitive future.
View webinar recording: https://youtu.be/K2bQ9qPgFL4
Explore all DataStax Webinars: http://www.datastax.com/resources/webinars
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
Data Lake and the rise of the microservicesBigstep
By simply looking at structured and unstructured data, Data Lakes enable companies to understand correlations between existing and new external data - such as social media - in ways traditional Business Intelligence tools cannot.
For this you need to find out the most efficient way to store and access structured or unstructured petabyte-sized data across your entire infrastructure.
In this meetup we’ll give answers on the next questions:
1. Why would someone use a Data Lake?
2. Is it hard to build a Data Lake?
3. What are the main features that a Data Lake should bring in?
4. What’s the role of the microservices in the big data world?
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.
A presentation discussing how to deploy Big data solutions. The difference between structured reporting systems which feed business processes and the data science systems which do cool stuff
Cortana Analytics Workshop: The "Big Data" of the Cortana Analytics Suite, Pa...MSAdvAnalytics
Lance Olson. Cortana Analytics is a fully managed big data and advanced analytics suite that helps you transform your data into intelligent action. Come to this two-part session to learn how you can do "big data" processing and storage in Cortana Analytics. In the first part, we will provide an overview of the processing and storage services. We will then talk about the patterns and use cases which make up most big data solutions. In the second part, we will go hands-on, showing you how to get started today with writing batch/interactive queries, real-time stream processing, or NoSQL transactions all over the same repository of data. Crunch petabytes of data by scaling out your computation power to any sized cluster. Store any amount of unstructured data in its native format with no limits to file or account size. All of this can be done with no hardware to acquire or maintain and minimal time to setup giving you the value of "big data" within minutes. Go to https://channel9.msdn.com/ to find the recording of this session.
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
This session will address Cassandra's tunable consistency model and cover how developers and companies should adopt a more Optimistic Software Design model.
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
Christos Kalantzis, Engineering Manager of Cloud Persistence Engineering at Netflix, will talk about his transition from a database administrator to a database engineer working with cutting edge big data technology. He will provide expertise and insight into how he learned about new technologies and the use cases he now gets to work on.
According to a recent Harvard Business Review study, there’s only a 43% chance that customers who have a poor experience will stick with you for the next 12 months. Contrast that to the 74% that will remain your customer if they have a great experience. Learn how Macy’s, a leading American department store chain founded in 1858 with over 750 stores in North America, is transforming their customer experience with DataStax Enterprise.
Webinar recording: https://youtu.be/CiUVxh6Ov_E
View current and past DataStax webinars: http://www.datastax.com/resources/webinars
Webinar | Real-time Analytics for Healthcare: How Amara Turned Big Data into ...DataStax
Increasing regulations on patient data, expanding and ever-changing data volumes and formats, and the need for real-time analytics are adding new levels of complexity to database platforms, forcing Healthcare IT management to rethink legacy database environments.
Join Christopher Rosin, Ph.D., Chief Scientist at Amara Health Analytics, as he shares his knowledge about implementing a real-time predictive analytics platform to support clinicians in the early detection of critical disease states. Based on years of research and hands-on experience, Chris provides practical steps for guiding DataStax Enterprise initiatives from evaluation to successful implementation.
Watch to learn:
- The challenges in selecting the right database technology for dynamic, real-time data without the rigidity of relational systems
- How Amara’s SaaS model delivers real-time decision support, leveraging large amounts of unstructured and structured clinical data
- How DataStax Enterprise helps meet strict requirements on patient data privacy, data integrity, and system performance
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.
Muvr is a real-time personal trainer system. It must be highly available, resilient and responsive, and so it relies on heavily on Spark, Mesos, Akka, Cassandra, and Kafka—the quintuple also known as the SMACK stack. In this talk, we are going to explore the architecture of the entire muvr system, exploring, in particular, the challenges of ingesting very large volume of data, applying trained models on the data to provide real-time advice to our users, and training & evaluating new models using the collected data. We will specifically emphasize on how we have used Cassandra for consuming lots of fast incoming biometric data from devices and sensors, and how to securely access the big data sets from Cassandra in Spark to compute the models.
We will finish by showing the mechanics of deploying such a distributed application. You will get a clear understanding of how Mesos, Marathon, in conjunction with Docker, is used to build an immutable infrastructure that allows us to provide reliable service to our users and a great environment for our engineers.
IoT devices generate high volume, continuous streams of data that must be analyzed in-memory – before they land on disk – to identify potential outliers/failures or business opportunities. Companies need to build robust yet flexible applications that can instantly act on the information derived from analyzing their IoT data. Attend this session to learn how you can easily handle real-time data acquisition across structured and semi-structured data, as well as windowing, fast in-memory streaming analytics, event correlation, visualization, alerts, workflows and smart data storage.
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: Transforming Customer Experience Through an Always-On Data PlatformDataStax
According to Forrester Research, leaders in customer experience drive 5.1X revenue growth over laggards. And although 84% of companies aspire to be a leader in this space, only 1 in 5 successfully delivers good or great customer experience. Join us for our next webinar where Mike Gualtieri, VP and Principal Analyst at Forrester Research and Rajay Rai, Head of Digital Engineering at Macquarie Bank will share how Customer Experience can drive business results such as faster revenue growth, longer customer retention, greater employee engagement and improved profit margins.
View webinar recording: https://youtu.be/eEc5tx-nHvI
Explore past DataStax webinars: http://www.datastax.com/resources/webinars
Big Data Day LA 2016/ Hadoop/ Spark/ Kafka track - Building an Event-oriented...Data Con LA
While we frequently talk about how to build interesting products on top of machine and event data, the reality is that collecting, organizing, providing access to, and managing this data is where most people get stuck. In this session, we’ll follow the flow of data through an end to end system built to handle tens of terabytes per day of event-oriented data, providing real time streaming, in-memory, SQL, and batch access to this data. We’ll go into detail on how open source systems such as Hadoop, Kafka, Solr, and Impala/Hive are actually stitched together; describe how and where to perform data transformation and aggregation; provide a simple and pragmatic way of managing event metadata; and talk about how applications built on top of this platform get access to data and extend its functionality. This session is especially recommended for data infrastructure engineers and architects planning, building, or maintaining similar systems.
Webinar on the updated Payment Services Directive (PSD2) and how it will affect financial institutions when introduced in 2018. This webinar outlines the challenges facing financial institutions and how API connectivity can help them to not only survive but thrive in an increasingly competitive future.
View webinar recording: https://youtu.be/K2bQ9qPgFL4
Explore all DataStax Webinars: http://www.datastax.com/resources/webinars
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
Data Lake and the rise of the microservicesBigstep
By simply looking at structured and unstructured data, Data Lakes enable companies to understand correlations between existing and new external data - such as social media - in ways traditional Business Intelligence tools cannot.
For this you need to find out the most efficient way to store and access structured or unstructured petabyte-sized data across your entire infrastructure.
In this meetup we’ll give answers on the next questions:
1. Why would someone use a Data Lake?
2. Is it hard to build a Data Lake?
3. What are the main features that a Data Lake should bring in?
4. What’s the role of the microservices in the big data world?
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.
A presentation discussing how to deploy Big data solutions. The difference between structured reporting systems which feed business processes and the data science systems which do cool stuff
Cortana Analytics Workshop: The "Big Data" of the Cortana Analytics Suite, Pa...MSAdvAnalytics
Lance Olson. Cortana Analytics is a fully managed big data and advanced analytics suite that helps you transform your data into intelligent action. Come to this two-part session to learn how you can do "big data" processing and storage in Cortana Analytics. In the first part, we will provide an overview of the processing and storage services. We will then talk about the patterns and use cases which make up most big data solutions. In the second part, we will go hands-on, showing you how to get started today with writing batch/interactive queries, real-time stream processing, or NoSQL transactions all over the same repository of data. Crunch petabytes of data by scaling out your computation power to any sized cluster. Store any amount of unstructured data in its native format with no limits to file or account size. All of this can be done with no hardware to acquire or maintain and minimal time to setup giving you the value of "big data" within minutes. Go to https://channel9.msdn.com/ to find the recording of this session.
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
This session will address Cassandra's tunable consistency model and cover how developers and companies should adopt a more Optimistic Software Design model.
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
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
Dyn delivers exceptional Internet Performance. Enabling high quality services requires data centers around the globe. In order to manage services, customers need timely insight collected from all over the world. Dyn uses DataStax Enterprise (DSE) to deploy complex clusters across multiple datacenters to enable sub 50 ms query responses for hundreds of billions of data points. From granular DNS traffic data, to aggregated counts for a variety of report dimensions, DSE at Dyn has been up since 2013 and has shined through upgrades, data center migrations, DDoS attacks and hardware failures. In this webinar, Principal Engineers Tim Chadwick and Rick Bross cover the requirements which led them to choose DSE as their go-to Big Data solution, the path which led to SPARK, and the lessons that we’ve learned in the process.
Cassandra Community Webinar: Back to Basics with CQL3DataStax
Cassandra is a distributed, massively scalable, fault tolerant, columnar data store, and if you need the ability to make fast writes, the only thing faster than Cassandra is /dev/null! In this fast-paced presentation, we'll briefly describe big data, and the area of big data that Cassandra is designed to fill. We will cover Cassandra's unique, every-node-the-same architecture. We will reveal Cassandra's internal data structure and explain just why Cassandra is so darned fast. Finally, we'll wrap up with a discussion of data modeling using the new standard protocol: CQL (Cassandra Query Language).
Cassandra Community Webinar | In Case of Emergency Break GlassDataStax
The design of Apache Cassandra allows applications to provide constant uptime. Peer-to-Peer technology ensures there are no single points of failure, and the Consistency guarantees allow applications to function correctly while some nodes are down. There is also a wealth of information provided by the JMX API and the system log. All of this means that when things go wrong you have the time, information and platform to resolve them without downtime. This presentation will cover some of the common, and not so common, performance issues, failures and management tasks observed in running clusters. Aaron will discuss how to gather information and how to act on it. Operators, Developers and Managers will all benefit from this exposition of Cassandra in the wild.
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 | Practice Makes Perfect: Extreme Cassandra Optim...DataStax
Ooyala has been using Apache Cassandra since version 0.4.Their data ingest volume has exploded since 0.4 and Cassandra has scaled along with it. In this webinar, Al will share lessons that he has learned across an array of topics from an operational perspective including how to manage, tune, and scale Cassandra in a production environment.
Speaker: Al Tobey, Tech Lead, Compute and Data Services at Ooyala
Al Tobey is Tech Lead of the Compute and Data services team at Ooyala. His team develops and operates Ooyala's internal big data platform, consisting of Apache Cassandra, Hadoop, and internally developed tools. When not in front of a computer, Al is a father, husband, and trombonist.
Webinar: Getting Started with Apache CassandraDataStax
Would you like to learn how to use Cassandra but don’t know where to begin? Want to get your feet wet but you’re lost in the desert? Longing for a cluster when you don’t even know how to set up a node? Then look no further! Rebecca Mills, Junior Evangelist at Datastax, will guide you in the webinar “Getting Started with Apache Cassandra...”
You'll get an overview of Planet Cassandra’s resources to get you started quickly and easily. Rebecca will take you down the path that's right for you, whether you are a developer or administrator. Join if you are interested in getting Cassandra up and working in the way that suits you best.
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
Cassandra Community Webinar | Make Life Easier - An Introduction to Cassandra...DataStax
An Introduction to Cassandra Query Language
Speaker: Matt Stump, Solutions Architect at DataStax
Matt is currently a solutions architect at DataStax and is the author of the forthcoming "Cassandra: A Beginner's Guide" published by Packt. He has an extensive background in high performance computing working with companies such as SourceNinja and Symantec. He brings a wealth of knowledge not only in Cassandra, but also in Solr, as he was an extremely early implementer of the technology.
Webinar: DataStax Training - Everything you need to become a Cassandra RockstarDataStax
Looking to strengthen your expertise of Cassandra and DataStax Enterprise? This DataStax Training Webinar will arm you with the knowledge and hands-on skills to get the most out of your DataStax Enterprise environment. If you’ve already taken a DataStax training, consider this a free refresher. Considering training? Then this is a solid intro for developers and admins on your team.
This webinar will highlight the training curriculum and drill into each of the Cassandra expert-led courses so you can determine what meets your needs. Training topics:
Core Concepts, Skills, and Tools
Operations & Performance Tuning
Data Modeling
Using Apache Solr within DataStax Enterprise
And more!
Webinar: Building Blocks for the Future of TelevisionDataStax
At Comcast we are working on the future of television. Change and innovation are happening more rapidly than ever thanks to the cloud based X1 platform which is gradually replacing the legacy set top box installation base. The transition requires us to find innovative solutions to tough design problems around availability and scale. This webinar will present a detailed look at the X1 DVR service as a case study of how CMB and Cassandra can be part of a solution to these problems. A brief high-level overview of the X1 platform will also be provided for context.
Join the webinar, and you’ll learn:
- High-level overview of the new X1 platform
- How Cassandra provides availability and scale for large distributed architectures across data center
- X1 DVR as a use case of CMB and Cassandra at Comcast
Webinar: Diagnosing Apache Cassandra Problems in ProductionDataStax Academy
This session covers diagnosing and solving common problems encountered in production, using performance profiling tools. We’ll also give a crash course to basic JVM garbage collection tuning. Viewers will leave with a better understanding of what they should look for when they encounter problems with their in-production Cassandra cluster.
Cassandra Community Webinar | Become a Super ModelerDataStax
Sure you can do some time series modeling. Maybe some user profiles. What's going to make you a super modeler? Let's take a look at some great techniques taken from real world applications where we exploit the Cassandra big table model to it's fullest advantage. We'll cover some of the new features in CQL 3 as well as some tried and true methods. In particular, we will look at fast indexing techniques to get data faster at scale. You'll be jet setting through your data like a true super modeler in no time.
Speaker: Patrick McFadin, Principal Solutions Architect at DataStax
Cassandra Community Webinar: Apache Cassandra InternalsDataStax
Apache Cassandra solves many interesting problems to provide a scalable, distributed, fault tolerant database. Cluster wide operations track node membership, direct requests and implement consistency guarantees. At the node level, the Log Structured storage engine provides high performance reads and writes. All of this is implemented in a Java code base that has greatly matured over the past few years.
In this webinar Aaron Morton will step through read and write requests, automatic processes and manual maintenance tasks. He will also discuss the general approach to solving the problem and drill down to the code responsible for implementation.
Speaker: Aaron Morton, Apache Cassandra Committer
Aaron Morton is a Freelance Developer based in New Zealand, and a Committer on the Apache Cassandra project. In 2010 he gave up the RDBMS world for the scale and reliability of Cassandra. He now spends his time advancing the Cassandra project and helping others get the best out of it.
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!
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!
Shift: Real World Migration from MongoDB to CassandraDataStax
Presentation on SHIFT's migration from MongoDB to Cassandra. Topics will include reasons behind choosing to move to Cassandra, zero downtime migration strategy, data modeling patterns, and the benefits of using CQL3.
Webinar - Delivering Enhanced Message Processing at Scale With an Always-on D...DataStax
Managing 3.8 million e-prescriptions daily for more than 1 million healthcare professionals is no small feat. And, with rapid growth in the number of digital transactions and expansion of its network, Surescripts needed to replace its legacy relational database system to address a new set of data management challenges while meeting their customers’ demanding SLAs. Join us for this on-demand webinar to hear from Keith Willard, Chief Architect at Surescripts, to learn how and why Surescripts leverages DataStax Enterprise to deliver enhanced message processing at scale.
View recording: https://youtu.be/1T6V1XAoaJQ
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
Modern apps and services are leveraging data to change the way we engage with users in a more personalized way. Skyla Loomis talks big data, analytics, NoSQL, SQL and how IBM Cloud is open for data.
Learn more by visiting our Bluemix Hybrid page: http://ibm.co/1PKN23h
Big Data Made Easy: A Simple, Scalable Solution for Getting Started with HadoopPrecisely
With so many new, evolving frameworks, tools, and languages, a new big data project can lead to confusion and unwarranted risk.
Many organizations have found Data Warehouse Optimization with Hadoop to be a good starting point on their Big Data journey. Offloading ETL workloads from the enterprise data warehouse (EDW) into Hadoop is a well-defined use case that produces tangible results for driving more insights while lowering costs. You gain significant business agility, avoid costly EDW upgrades, and free up EDW capacity for faster queries. This quick win builds credibility and generates savings to reinvest in more Big Data projects.
A proven reference architecture that includes everything you need in a turnkey solution – the Hadoop distribution, data integration software, servers, networking and services – makes it even easier to get started.
Introduces the Microsoft’s Data Platform for on premise and cloud. Challenges businesses are facing with data and sources of data. Understand about Evolution of Database Systems in the modern world and what business are doing with their data and what their new needs are with respect to changing industry landscapes.
Dive into the Opportunities available for businesses and industry verticals: the ones which are identified already and the ones which are not explored yet.
Understand the Microsoft’s Cloud vision and what is Microsoft’s Azure platform is offering, for Infrastructure as a Service or Platform as a Service for you to build your own offerings.
Introduce and demo some of the Real World Scenarios/Case Studies where Businesses have used the Cloud/Azure for creating New and Innovative solutions to unlock these potentials.
Businesses are generating more data than ever before.
Doing real time data analytics requires IT infrastructure that often needs to be scaled up quickly and running an on-premise environment in this setting has its limitations.
Organisations often require a massive amount of IT resources to analyse their data and the upfront capital cost can deter them from embarking on these projects.
What’s needed is scalable, agile and secure cloud-based infrastructure at the lowest possible cost so they can spin up servers that support their data analysis projects exactly when they are required. This infrastructure must enable them to create proof-of-concepts quickly and cheaply – to fail fast and move on.
Weet u nog waar uw bedrijfsdata zich bevindt? Uw data bevindt zich (straks) overal. In samenwerking met Commvault laten we zien, hoe uw organisatie ‘in control’ kan blijven over én meerwaarde kan geven aan uw data ongeacht of deze zich on-premise, in de cloud of op een end-user device bevindt.
Presentatie 9 juni 2016
Continuous Availability and Scale-out for MySQL with ScaleBase Lite & Enterpr...Vladi Vexler
Continuous Availability and Scalability with ScaleBase Lite and ScaleBase
Abstract:
Business are driven by data and processes. Ensuring databases availability during unexpected outages, continuous operations during maintenance and webscale scalability – are keys for major positive impact on businesses.
ScaleBase and ScaleBase Lite distributed database management systems ensure business continuity during unexpected and expected outages with automated failover and failback capabilities, enabling five-nines of availability (99.999%). Additional functionalities, such as load balancing and data distribution further increase performance and throughput capacity for more users and more data management.
This webinar will review and discuss:
1. The lifecycle and the challenges of webscale databases
2. Availability challenges in public, private and hybrid clouds
3. Introduction to ScaleBase Lite – instant and transparent MySQL Scale-out by intelligent load balancing (read/write splitting) and continuous availability
4. Scale further with ScaleBase – Massive scale out to distributed database containing 10s and 100s of servers
(Webinar Dec 17 2014)
Engineering Machine Learning Data Pipelines Series: Streaming New Data as It ...Precisely
Tackling the challenge of designing a machine learning model and putting it into production is the key to getting value back – and the roadblock that stops many promising machine learning projects. After the data scientists have done their part, engineering robust production data pipelines has its own set of challenges. Syncsort software helps the data engineer every step of the way.
Building on the process of finding and matching duplicates to resolve entities, the next step is to set up a continuous streaming flow of data from data sources so that as the sources change, new data automatically gets pushed through the same transformation and cleansing data flow – into the arms of machine learning models.
Some of your sources may already be streaming, but the rest are sitting in transactional databases that change hundreds or thousands of times a day. The challenge is that you can’t affect performance of data sources that run key applications, so putting something like database triggers in place is not the best idea. Using Apache Kafka or similar technologies as the backbone to moving data around doesn’t solve the problem of needing to grab changes from the source pushing them into Kafka and consuming the data from Kafka to be processed. If something unexpected happens – like connectivity is lost on either the source or the target side, you don’t want to have to fix it or start over because the data is out of sync.
View this 15-minute webcast on-demand to learn how to tackle these challenges in large scale production implementations.
Demystifying Data Warehouse as a Service (DWaaS)Kent Graziano
This is from the talk I gave at the 30th Anniversary NoCOUG meeting in San Jose, CA.
We all know that data warehouses and best practices for them are changing dramatically today. As organizations build new data warehouses and modernize established ones, they are turning to Data Warehousing as a Service (DWaaS) in hopes of taking advantage of the performance, concurrency, simplicity, and lower cost of a SaaS solution or simply to reduce their data center footprint (and the maintenance that goes with that).
But what is a DWaaS really? How is it different from traditional on-premises data warehousing?
In this talk I will:
• Demystify DWaaS by defining it and its goals
• Discuss the real-world benefits of DWaaS
• Discuss some of the coolest features in a DWaaS solution as exemplified by the Snowflake Elastic Data Warehouse.
Horses for Courses: Database RoundtableEric Kavanagh
The blessing and curse of today's database market? So many choices! While relational databases still dominate the day-to-day business, a host of alternatives has evolved around very specific use cases: graph, document, NoSQL, hybrid (HTAP), column store, the list goes on. And the database tools market is teeming with activity as well. Register for this special Research Webcast to hear Dr. Robin Bloor share his early findings about the evolving database market. He'll be joined by Steve Sarsfield of HPE Vertica, and Robert Reeves of Datical in a roundtable discussion with Bloor Group CEO Eric Kavanagh. Send any questions to info@insideanalysis.com, or tweet with #DBSurvival.
3 Things to Learn:
-How data is driving digital transformation to help businesses innovate rapidly
-How Choice Hotels (one of largest hoteliers) is using Cloudera Enterprise to gain meaningful insights that drive their business
-How Choice Hotels has transformed business through innovative use of Apache Hadoop, Cloudera Enterprise, and deployment in the cloud — from developing customer experiences to meeting IT compliance requirements
Data Con LA 2018 - Populating your Enterprise Data Hub for Next Gen Analytics...Data Con LA
Syncsort data integration solution and data quality solution on hadoop can help accelerate the process of Populating your Enterprise Data Hub with data from multiple disparate data sources like legacy systems, databases, ERPs ,CRMs ,etc. Standardizing and cleansing the data before it is ingested into the data lake will dramatically increase the analytics value proposition.
It is a fascinating, explosive time for enterprise analytics.
It is from the position of analytics leadership that the mission will be executed and company leadership will emerge. The data professional is absolutely sitting on the performance of the company in this information economy and has an obligation to demonstrate the possibilities and originate the architecture, data, and projects that will deliver analytics. After all, no matter what business you’re in, you’re in the business of analytics.
The coming years will be full of big changes in enterprise analytics and Data Architecture. William will kick off the fourth year of the Advanced Analytics series with a discussion of the trends winning organizations should build into their plans, expectations, vision, and awareness now.
Choosing technologies for a big data solution in the cloudJames Serra
Has your company been building data warehouses for years using SQL Server? And are you now tasked with creating or moving your data warehouse to the cloud and modernizing it to support “Big Data”? What technologies and tools should use? That is what this presentation will help you answer. First we will cover what questions to ask concerning data (type, size, frequency), reporting, performance needs, on-prem vs cloud, staff technology skills, OSS requirements, cost, and MDM needs. Then we will show you common big data architecture solutions and help you to answer questions such as: Where do I store the data? Should I use a data lake? Do I still need a cube? What about Hadoop/NoSQL? Do I need the power of MPP? Should I build a "logical data warehouse"? What is this lambda architecture? Can I use Hadoop for my DW? Finally, we’ll show some architectures of real-world customer big data solutions. Come to this session to get started down the path to making the proper technology choices in moving to the cloud.
Growing data volume, microservices, number of platforms
and data complexity makes traditional data validation
solutions costly to scale and difficult to manage.
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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
A distributed graph database is the most powerful means of discovering and leveraging the relationships in your data. With the right techniques combined with the right enterprise graph features, you can build modern applications at scale for real-time use-cases. But how exactly should you manage and model your data for a distributed graph database? And how can you leverage the relationships in that data? Watch this on-demand webinar as our graph expert answers those questions and shares tips and insights into creating production apps with distributed graph data.
View recording: https://youtu.be/TSs_qPnhOas
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 | 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
The European Union’s General Data Protection Regulation (GDPR) has sweeping effects on how enterprises manage their data. Without the right policies and safeguards in place, a tiny data mishap could end up turning into a catastrophic mistake. Join Datastax and our partner Thales eSecurity for a live webinar to learn how GDPR effects impact data management and the various ways enterprises can both comply and thrive in a hybrid cloud environment.
View recording: https://youtu.be/QZ48_qkK9PU
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
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
View these slides to discover the advantages of a distributed cloud database designed for hybrid cloud along with examples of how companies are delivering innovative and personalized ecommerce experiences. We'll discuss the sources of common data challenges and the hidden impact they have on business, the database requirements for improved customer experiences and innovative application delivery, and how leading organizations such as eBay, Sony, Macy’s, and Comcast are transforming the eCommerce experience with DataStax Enterprise 6.
View recording: https://youtu.be/4UXrJ3xtmGg
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
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
Today’s Right-Now Economy means employees and customers alike expect applications to be always on, real time, and contextual. But how do you manage applications that collect data from a variety of sources, at cloud scale, and provide instant insights? And, can you embrace the public cloud while still retaining control of your data? Join us to hear from Microsoft Cloud Architect and Azure Global Black Belt Ron Abellera to learn how an enterprise-ready hybrid cloud data layer can help to accelerate time to market and scale linearly, ensure continuous availability, and achieve data autonomy with a hybrid cloud strategy.
View webinar recording: https://youtu.be/_-GqmAk5C_I
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
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
From scalability to data access to data governance, learn the specific performance and data requirements of a customer experience-ready data management platform.
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.
Innovation Around Data and AI for Fraud DetectionDataStax
ACI, the Universal Payments company that moves about fourteen trillion dollars a day, services eighteen of the twenty largest banks, and three hundred of the largest retailers worldwide, is applying AI models and rules to combat fraud. Join Ken Chenis, Chief Architect at ACI Worldwide to learn about how their patent-pending innovation is helping them to power payments now, and into the future. Take a look at the webinar here -
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...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 the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
1. Don‘t Leave Your Data in the Dark –
Optimize and Simplify Database Performance with DataStax
2. Today‘s Speaker – Robin Schumacher
• VP Products
• Database geek/DBA for longer than will admit
• Author of many database articles and 3
database books
• Has Ph.D., but only makes wife call him ―Dr.‖
• Prior stints directing product lines for MySQL,
PostgreSQL, and DB tools for Oracle, SQL
Server, Sybase, and DB2
• Husband of one, father of two, forced-
against-his-will owner of one horse
3. Agenda
1. Today‘s Online World
2. How Relational Databases Fail
3. Why Cassandra for Online Applications?
4. Why DataStax Enterprise?
5. Increasing Performance with DataStax Enterprise 4.0
6. Key Takeaways
7. Questions
4. Always On Data is the
new currency
Dynamic
experience1 2 3
Today‘s Online World
6. 75% of executives
say that technology
failures are rising
11-24 days average
time to recover
from failure
45% of executives say
failures are causing
damage to brand or
share
Application Outages Hurt Business
9. Always on? Data Scale/Performance? Dynamic Experience?
Slower time to market
Lack of personalization
Modern Architecture?
Multi-DC/geo/cloud?
No single point failure?
High costs
Success outgrows database
How Relational Databases Fail
Loss of revenue
Loss of customers
Linear performance?
Elastically scalable?
Simple to manage?
Flexible schema?
Easy to change online?
Support all data types?
10. What is Apache Cassandra?
Cassandra is an open source, NoSQL, distributed
database built for modern, mission-critical online applications
C A S S A N
D R A
11. Cassandra – Unmatched Uptime, Performance, Flexibility
One Application. More than a trillion transactions per day. No problem.
(That‘s 10 million transactions every second!)
C A S S
A N D R
A
C A S S
A N D R
A
C A S S
A N D R
A
13. Always on Data Scale/Performance Dynamic Experience
Fast time to market
Easy personalization
Modern Architecture?
Multi-DC/geo/cloud?
No single point failure?
Low costs
Database > Success
Why Cassandra for Online Apps
Increase revenue
Gain customers
Linear performance?
Elastically scalable?
Simple to manage?
Flexible schema?
Easy to change online?
Support all data types?
DataStax Enables Organizations to Build Powerful Online Applications
100% Uptime Faster Time To Market Turn Data into $$
14. Outbrain Helps People Discover the Most Interesting, Relevant Content Out There
• Outbrain delivers 90 billion recommendations on over 10 billion page views per month
• Reach of 86% of the online U.S. population
• Cassandra is Outbrain‘s primary data store
• Cassandra chosen over HBase due to ease in spanning multiple data centers
During Hurricane Sandy, we
lost an entire data center.
Completely. Lost it.
Our application fail-over
resulted in us losing just a few
moments of serving requests
for a particular region of the
country, but our data in
Cassandra never went offline.
Always On?
15. World’s largest online marketplace, eBay uses DSE for fraud detection,
messaging, and displaying social data on product pages
• DataStax‘s scale out architecture enables eBay to deploy multiple DSE clusters
across several different data centers using commodity hardware. 250TBs+ of
storage—in DataStax Enterprise clusters; 1 40TB table.
• Using DataStax, eBay cost-effectively processes massive amounts of data at very
high velocities – 9 billion writes/5 billion reads per day
“We have to be ready for disaster
recovery all the time. It’s really
great that Cassandra allows for
active-active multiple data centers
where we can read and write data
anywhere.” -Jay Patel, Technical
Architect at eBay
Data Scale/ Performance
16. Cassandra Delivers Superior Scalability to the Largest Cloud Platform in the
World - Netflix
• Migrated from Oracle to Cassandra
• 95% of data stored on Cassandra including viewing history of its 36 million
customers
• Super scalability, no single point of failure, 100% uptime
Dynamic Experience
17. DataStax Delivers Cassandra to the Enterprise
Expert Support, Consulting, Software Updates, Health Checks
Developer IDE and
Drivers
In Memory
Analytics
Search
Security
Management
Services
Visual
Management and
Monitoring Tools
Certified, Enterprise-Ready Cassandra
18. RELATIONAL DATABASES
CQL SQL
Visual management and development tools Various management tools
DSE for search and analytics Analytic functions and full-text search
Security Security
Support, consulting & training 30-year-old ecosystem
Legacy RDBMS to Modern NoSQL is Easy
Automatic management services Built-in task management
DATASTAX
19. Simplified Management
A new, 10-node Cassandra (or Hadoop) cluster with OpsCenter running in 3 minutes…A new, 10-node DSE cluster with OpsCenter running on AWS in 3 minutes…
Done1 2 3
20. New in-memory option built on a production-certified version
of Apache Cassandra (2.0)
• Enhanced enterprise search
• Improved visual management and monitoring
What‘s New in DataStax Enterprise 4.0
21. • Dial-the-performance flexibility based on data
• Simple to use; transparent to developers
• Ideal for use cases requiring fast writes and low latency (Web,
financial, telecom)
• Internal testing shows 10-100x improvements
Same database cluster
In-memory SSD‘s Spinning Disk
Fastest
response
time for low-
latency
requests
Very fast
response
times for
‗hot‘ data
Good
performance
for large data
volumes
Increasing Performance with In-Memory
23. • Certified Cassandra shortens development time
• New developer-enabling features
• Lightweight transactions
• CQL improvements
• Enhanced enterprise search delivers high throughput
• Certified Solr 4.6 with more developer features
• Faster internode communication has low latency even with thousands
of concurrent requests
Certified Cassandra 2.0 and Enterprise Search
24. • Improved visual interface to manage
and control production workloads
• Capacity planning analysis, with
enhanced trend analysis and
forecasting
• Supports multiple data centers
• Monitoring of in-memory tables
• Enhanced drill-downs for faster
troubleshooting on individual nodes
Simplified Management with OpsCenter 4.1
25. “DSE has made the
transition to an AWS-based
infrastructure much easier
than a traditional
RDBMS would have.”
―DataStax Enterprise has
become one of our highest
available systems with the lowest
cost of ownership.‖
Build Powerful Online Applications
―We have to be ready for disaster
recovery all the time. It‘s really
great that Cassandra allows for
active-active multiple data centers
where we can read and write data
anywhere.‖
―With Cassandra, we get better
business agility, and we don‘t have to
plan capacity in advance, we don‘t need
to ask permission of other people to
build things for us, and we don‘t worry
about running out of space or power.‖
26. Founded in April 2010
OUR INVESTORS
400+ customers
25% of the Fortune 100 200+ employees
38 countries worldwide Powering more than 1
trillion transactions a day
DATASTAX BY THE NUMBERS
About DataStax
27. The Fastest Way from Data to Online Business
Collect, store
and manage
data on premise
or in the Cloud
Increase
developer
productivity with
Developer IDE,
drivers and tools
Visually monitor
and
automatically
manage your
environment
Search and
analyze data to
optimize
customer
experience
100% data
availability in a
secure
environment
DataStax scales
as your business
grows
28. OS
Cassandra
DSE
Standard
DSE
Pro
DSE
Max
DATABASE MANAGEMENT / SERVICES
Advanced Security Option ✔ ✔ ✔
In-Memory Option ✔ ✔ ✔
Automatic Management Services ✔ ✔ ✔
Enterprise Search ✔ ✔
Batch Analytics ✔
MANAGEMENT
OpsCenter Basic Advanced Advanced Advanced
SUPPORT AND PROFESSIONAL SERVICES
Expert 24x7x365 Support ✔ ✔ ✔
Platform certification ✔ ✔ ✔
Certified service packs ✔ ✔ ✔
Hot fixes ✔ ✔ ✔
Bug escalation ✔ ✔ ✔
Health checks/Performance reviews ✔ ✔ ✔
Custom builds Option
DataStax Subscriptions
29. Key Takeaways
1. New rules for a new online world
• Today‘s online applications must be always available, data-driven and dynamic enough
to adapt to changing user requirements
2. Relational databases are not built for today’s online applications
• Outdated architecture, high costs and lack of agility drive online application failure and
negative customer experiences
3. DataStax is the best database choice for today’s online world
• Modern architecture for modern applications
• Always on, maximum scale/performance, and able to serve dynamic apps
• New in-memory speed, easier development, faster search, and simplified visual
management
30. Next Steps
1. Try DataStax Enterprise/OpsCenter/DevCenter for free
2. Visit our knowledge base on Datastax.com for online
documentation, tutorials, free online training, tech papers,
and more
3. Join our community at PlanetCassandra.org
“I cannot develop modern applications with my existing IT infrastructure, without throwing more people, more hardware and more money at it. And even with that, I cannot guarantee success.”
Cassandra is an always-on, fully distributed database, that is built specifically for the world of online, dynamic applications where data is absolutely king. At DataStax, we deliver Cassandra to the enterprise, helping our customers overcome serious obstacles to innovation that they need to revolutionize the way they do business, and that they can't get done with old, relational technology.
The fact is that many of our customers tried other technology like Oracle and failed and they are not alone…75% of executives surveyed reported an increase in failure rates 11-24 days MTTR (Mean Time To Recovery)45% report significant damage to brand or customer loyalty
Data is the new currency. Delivering a personalized online experience while keeping customer data secure builds customer confidence and fosters innovation.It's everything! It's the new currency. It needs to be fully distributed It has to be captured at remarkable speeds It's different from traditional data (e.g. "time series")
Your interactions with users must be personal and dynamic Businesses themselves must be dynamic The speed at which you can adapt will determine your success or failure as a company
Do we have a screenshot of eBay’s recommendation engine?By understanding each person's unique tastes, ebay can help people find what they're looking for or even help them discover things they'll love and didn't even know about. eBay is storing user activity data in Cassandra, representing it as a graph that is made up of edges between users and items that the user has indicated an interest or disinterest towards. Cassandra is critical for being able to look up historical behavior data quickly, so that ebay can do model updates with low latency.
So, What DataStax is doing is trying to straightened that bend in the road. We are providing things like CQL, and management tools called DevCenter and OpsCenter. DataStax Enterprise provides integration into analytics and search capabilities and we do it all within a secure environment. We also provide consultants and training courses, including free virtual training to help get you up to speed.
Internal testing shows 10-100x improvements with memory-pressured systems.Brings all the goodness of Cassandra to an in-memory database. Simple to use. Transparent to developers. Great for use cases requiring fast writes and low latency reads. Allows for dial-the-performance flexibility based on need for data speeds.
Many developer-enabling features.Lightweight transactions, CQL improvements, various performance improvements, triggers. Shortens application development time.Certified Solr 4.6 – includes numerous feature additions, performance optimizations, etc.Faster internode communication delivers lower latency, and higher throughput, even with thousands of concurrent connections.
.. Custom historical monitoring timeframes.
”We had a scale problem and MySQL could not handle it, whereas Cassandra is designed to scale and be highly available.”