The Practice of Big Data - The Hadoop ecosystem explained with usage scenarioskcmallu
What's the origin of Big Data? What are the real life usage scenarios where Hadoop has been successfully adopted? How do you get started within your organizations?
How to Build Multi-disciplinary Analytics Applications on a Shared Data PlatformCloudera, Inc.
Machine learning and analytics applications are exploding in the enterprise; driving use cases for preventative maintenance, delivering new desirable product offers to customers at the right time, and combating insider threats to your business.
But each of these high-value use cases rely on a variety of data analysis capabilities working in concert to combine data from different sources into a single coherent picture. Cloudera SDX delivers a “shared data experience” that makes applications easier to develop, less expensive to deploy and more consistently secure.
3 things to learn:
* Why multi-function applications are difficult to build and secure
* How shared catalog, governance, management, and security applied consistently everywhere can deliver a “shared data experience”
* How enterprise customers are building new, high-value applications with SDX
Introducing Cloudera Navigator Optimizer: Offload Assessments and Active Data...Cloudera, Inc.
Cloudera Enterprise can be used as an adaptive, high-performance analytic database, complementing existing data warehouses by relieving the pressure of growing numbers of ETL jobs and BI analytics. But where do you get started when developing your offload strategy? How can you identify which workloads are the best fit for which system? And once you’re up and running, how can you constantly adapt to Hadoop’s changing data needs?
Cloudera Navigator Optimizer eases the path for moving the right workloads to Hadoop and then actively manages data allowing you to take advantage of Hadoop’s benefits. Now generally available with the recent release of Cloudera 5.8 and a unique part of Cloudera’s analytic database solution, Navigator Optimizer gives you the workload visibility and assessments to build a predictable offload plan, adapt to evolving data and workload demands, and optimize query performance for Hadoop technologies
3 Things to Learn:
Join Ewa Ding, Senior Product Manager at Cloudera, as she discusses:
-An overview of Cloudera Navigator Optimizer and its key features
-A live demo and key use cases of this web-based tool
-What’s next for active data optimization in Hadoop
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
The Practice of Big Data - The Hadoop ecosystem explained with usage scenarioskcmallu
What's the origin of Big Data? What are the real life usage scenarios where Hadoop has been successfully adopted? How do you get started within your organizations?
How to Build Multi-disciplinary Analytics Applications on a Shared Data PlatformCloudera, Inc.
Machine learning and analytics applications are exploding in the enterprise; driving use cases for preventative maintenance, delivering new desirable product offers to customers at the right time, and combating insider threats to your business.
But each of these high-value use cases rely on a variety of data analysis capabilities working in concert to combine data from different sources into a single coherent picture. Cloudera SDX delivers a “shared data experience” that makes applications easier to develop, less expensive to deploy and more consistently secure.
3 things to learn:
* Why multi-function applications are difficult to build and secure
* How shared catalog, governance, management, and security applied consistently everywhere can deliver a “shared data experience”
* How enterprise customers are building new, high-value applications with SDX
Introducing Cloudera Navigator Optimizer: Offload Assessments and Active Data...Cloudera, Inc.
Cloudera Enterprise can be used as an adaptive, high-performance analytic database, complementing existing data warehouses by relieving the pressure of growing numbers of ETL jobs and BI analytics. But where do you get started when developing your offload strategy? How can you identify which workloads are the best fit for which system? And once you’re up and running, how can you constantly adapt to Hadoop’s changing data needs?
Cloudera Navigator Optimizer eases the path for moving the right workloads to Hadoop and then actively manages data allowing you to take advantage of Hadoop’s benefits. Now generally available with the recent release of Cloudera 5.8 and a unique part of Cloudera’s analytic database solution, Navigator Optimizer gives you the workload visibility and assessments to build a predictable offload plan, adapt to evolving data and workload demands, and optimize query performance for Hadoop technologies
3 Things to Learn:
Join Ewa Ding, Senior Product Manager at Cloudera, as she discusses:
-An overview of Cloudera Navigator Optimizer and its key features
-A live demo and key use cases of this web-based tool
-What’s next for active data optimization in Hadoop
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
3 Things to Learn About:
* How Sparklyr supports a complete backend for dplyr, a popular tool for working with data frame objects both in memory and out of memory
* How Sparklyr llows data scientists to use dplyr to translate R code into Spark SQL
* How Sparklyr supports MLlib so data scientists can run classifiers, regressions, and many other machine learning algorithms in Spark
Kelley Blue Book Uses Big Data to Increase User Engagement Over 100%Cloudera, Inc.
Kelley Blue Book Customer Use Case In this webinar, you will learn how KBB has: - Experienced a 37% increase in ad spend efficiency - Drove an incremental 1 billion impressions from its target segments - Observed a 24% lift in website engagement
Big data journey to the cloud maz chaudhri 5.30.18Cloudera, Inc.
We hope this session was valuable in teaching you more about Cloudera Enterprise on AWS, and how fast and easy it is to deploy a modern data management platform—in your cloud and on your terms.
Building a Data Hub that Empowers Customer Insight (Technical Workshop)Cloudera, Inc.
We have seen the evolution with the Bi and Data Science fields from the structured data warehouse to data lake and finally, to the data hub. This session will cover the key steps required to building a data hub, examining how best to align and engage stakeholders and develop architectural sanction to enable your organisations to realise new customer insights and better enable you to achieve business objectives.
How to Build Continuous Ingestion for the Internet of ThingsCloudera, Inc.
The Internet of Things is moving into the mainstream and this new world of data-driven products is transforming a vast number of industry sectors and technologies.
However, IoT creates a new challenge: how to build and operationalize continual data ingestion from such a wide and ever-changing array of endpoints so that the data arrives consumption-ready and can drive analysis and action within the business.
In this webinar, Sean Anderson from Cloudera and Kirit Busu, Director of Product Management at StreamSets, will discuss Hadoop's ecosystem and IoT capabilities and provide advice about common patterns and best practices. Using specific examples, they will demonstrate how to build and run end-to-end IOT data flows using StreamSets and Cloudera infrastructure.
The Big Picture: Learned Behaviors in ChurnCloudera, Inc.
The Big Picture webinar series explores how industries define their strategies for understanding their consumers better using data. From issuing better healthcare to smarter product and services recommendations, data is the fueling foundation for success. Cloudera is a modern platform that gives analytic access to users that need to understand their customers across multiple touch points and multiple enterprise systems. Cloudera not only unlocks the promise of true customer 360 but it also leverages advanced capabilities for data science and machine learning.
In this webinar, we take a look at how data scientists can leverage Cloudera to identify and predict a common customer loyalty use case in telecommunications. We will explore the data, design our features, and then leverage Apache Spark to help us make some predictions on the accuracy of our finding. All within a secure and collaborative environments utilizing the Cloudera Data Science Workbench.
New Performance Benchmarks: Apache Impala (incubating) Leads Traditional Anal...Cloudera, Inc.
Recording Link: http://bit.ly/LSImpala
Author: Greg Rahn, Cloudera Director of Product Management
In this session, we'll review the recent set of benchmark tests the Apache Impala (incubating) performance team completed that compare Apache Impala to a traditional analytic database (Greenplum), as well as to other SQL-on-Hadoop engines (Hive LLAP, Spark SQL, and Presto). We'll go over the methodology and results, and we'll also discuss some of the performance features and best practices that make this performance possible in Impala. Lastly, we'll look at some recent advancements in in Impala over the past few releases.
Evolution from Apache Hadoop to the Enterprise Data Hub by Cloudera - ArabNet...ArabNet ME
A new foundation for the Modern Information Architecture.
Speaker: Amr Awadallah, CTO & Cofounder, Cloudera
Our legacy information architecture is not able to cope with the realities of today's business. This is because it is not able to scale to meet our SLAs due to separation of storage and compute, economically store the volumes and types of data we currently confront, provide the agility necessary for innovation, and most importantly, provide a full 360 degree view of our customers, products, and business. In this talk Dr. Amr Awadallah will present the Enterprise Data Hub (EDH) as the new foundation for the modern information architecture. Built with Apache Hadoop at the core, the EDH is an extremely scalable, flexible, and fault-tolerant, data processing system designed to put data at the center of your business.
Building a Modern Analytic Database with Cloudera 5.8Cloudera, Inc.
Analytic workloads and the ability to determine “what happened” are some of the most common use cases across enterprises today - helping you understand and adapt based on changing trends. However, for most businesses today, they are only able to see a piece of the story. Analytics are limited by the amount of data able to be stored and ultimately accessed, it’s time-intensive to bring in new datasets or fit unstructured data into rigid schemas, and user access is constrained to a select few who must already know the questions they’re trying to answer.
It’s no surprise that big data is disrupting this modus operandi for analytics. A modern, Hadoop-based platform is designed to help businesses break free of these analytic limitations, providing a new kind of adaptive, high-performance analytic database. The recent release of Cloudera 5.8 continues to advance Cloudera Enterprise as the foundation for these analytic workloads.
Join Justin Erickson, Senior Director of Product Management at Cloudera, and Andy Frey, Chief Technology Officer at Marketing Associates, as they discuss:
-What technology is needed to build a modern analytic database with Hadoop
-What’s new with Cloudera 5.8
-How to align your teams around agile analytics
-Real world success from Marketing Associates
-What’s next for Cloudera Enterprise’s Analytic Database
Big Data Day LA 2016/ Use Case Driven track - How to Use Design Thinking to J...Data Con LA
There is a novel approach to identifying big data use cases, one which will ultimately lower the barrier to entry to big data projects and increase overall implementation success. This talk describes the approach used by big data pioneer and Datameer CEO Stefan Groschupf to drive over 200 production implementations.
The Transformation of your Data in modern IT (Presented by DellEMC)Cloudera, Inc.
Organizations have a wealth of data contained within the existing infrastructures. At DellEMC we’re helping customers remove the barriers of legacy datastores and transforming the customer experience in the modern datacentre. Learn how to unshackle the valuable data inside your existing data warehouse, leverage new techniques, applications and technology to enhance the financial impact of all your data sources
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
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
Consolidate your data marts for fast, flexible analytics 5.24.18Cloudera, Inc.
In this webinar, Cloudera and AtScale will showcase:
How a company can modernize their analytic architecture to deliver flexibility and agility to more end-users.
How using AtScale’s Universal Semantic layer can end the data chaos and allow business users to use the data in the modern platform.
Highlight the performance of AtScale and Cloudera’s analytic database with newly completed TPC-DS standard benchmarking.
Best practices for migrating from legacy appliances.
Data is being generated at a feverish pace and many businesses want all of it at their disposal to solve complex strategic problems. As decision making moves to real-time, enterprises need data ready for analysis immediately. Sean Anderson and Amandeep Khurana will discuss common pipeline trends in modern streaming architectures, Hadoop components that enable streaming capabilities, and popular use cases that are enabling the world of IOT and real-time data science.
Gartner Data and Analytics Summit: Bringing Self-Service BI & SQL Analytics ...Cloudera, Inc.
For self-service BI and exploratory analytic workloads, the cloud can provide a number of key benefits, but the move to the cloud isn’t all-or-nothing. Gartner predicts nearly 80 percent of businesses will adopt a hybrid strategy. Learn how a modern analytic database can power your business-critical workloads across multi-cloud and hybrid environments, while maintaining data portability. We'll also discuss how to best leverage the increased agility cloud provides, while maintaining peak performance.
Driving Better Products with Customer Intelligence Cloudera, Inc.
In today’s fast moving world, the ability to capture and process massive amounts of data and make valuable insights is key to gaining a competitive advantage. For RingCentral, a leader in Unified Communications, this is very true since they work with over 350,000 organizations worldwide. With such scale, it can be difficult to address quality issues when they appear while supporting additional calls.
Best Practices for Big Data Analytics with Machine Learning by DatameerDatameer
Don't forget! You can watch the full Datameer recording here:
http://info.datameer.com/Online-Slideshare-Big-Data-Analytics-Machine-Learning-OnDemand.html
Learn through industry use cases, how to empower users to identify patterns & relationships for recommendations using big data analytics.
3 Things to Learn About:
* How Sparklyr supports a complete backend for dplyr, a popular tool for working with data frame objects both in memory and out of memory
* How Sparklyr llows data scientists to use dplyr to translate R code into Spark SQL
* How Sparklyr supports MLlib so data scientists can run classifiers, regressions, and many other machine learning algorithms in Spark
Kelley Blue Book Uses Big Data to Increase User Engagement Over 100%Cloudera, Inc.
Kelley Blue Book Customer Use Case In this webinar, you will learn how KBB has: - Experienced a 37% increase in ad spend efficiency - Drove an incremental 1 billion impressions from its target segments - Observed a 24% lift in website engagement
Big data journey to the cloud maz chaudhri 5.30.18Cloudera, Inc.
We hope this session was valuable in teaching you more about Cloudera Enterprise on AWS, and how fast and easy it is to deploy a modern data management platform—in your cloud and on your terms.
Building a Data Hub that Empowers Customer Insight (Technical Workshop)Cloudera, Inc.
We have seen the evolution with the Bi and Data Science fields from the structured data warehouse to data lake and finally, to the data hub. This session will cover the key steps required to building a data hub, examining how best to align and engage stakeholders and develop architectural sanction to enable your organisations to realise new customer insights and better enable you to achieve business objectives.
How to Build Continuous Ingestion for the Internet of ThingsCloudera, Inc.
The Internet of Things is moving into the mainstream and this new world of data-driven products is transforming a vast number of industry sectors and technologies.
However, IoT creates a new challenge: how to build and operationalize continual data ingestion from such a wide and ever-changing array of endpoints so that the data arrives consumption-ready and can drive analysis and action within the business.
In this webinar, Sean Anderson from Cloudera and Kirit Busu, Director of Product Management at StreamSets, will discuss Hadoop's ecosystem and IoT capabilities and provide advice about common patterns and best practices. Using specific examples, they will demonstrate how to build and run end-to-end IOT data flows using StreamSets and Cloudera infrastructure.
The Big Picture: Learned Behaviors in ChurnCloudera, Inc.
The Big Picture webinar series explores how industries define their strategies for understanding their consumers better using data. From issuing better healthcare to smarter product and services recommendations, data is the fueling foundation for success. Cloudera is a modern platform that gives analytic access to users that need to understand their customers across multiple touch points and multiple enterprise systems. Cloudera not only unlocks the promise of true customer 360 but it also leverages advanced capabilities for data science and machine learning.
In this webinar, we take a look at how data scientists can leverage Cloudera to identify and predict a common customer loyalty use case in telecommunications. We will explore the data, design our features, and then leverage Apache Spark to help us make some predictions on the accuracy of our finding. All within a secure and collaborative environments utilizing the Cloudera Data Science Workbench.
New Performance Benchmarks: Apache Impala (incubating) Leads Traditional Anal...Cloudera, Inc.
Recording Link: http://bit.ly/LSImpala
Author: Greg Rahn, Cloudera Director of Product Management
In this session, we'll review the recent set of benchmark tests the Apache Impala (incubating) performance team completed that compare Apache Impala to a traditional analytic database (Greenplum), as well as to other SQL-on-Hadoop engines (Hive LLAP, Spark SQL, and Presto). We'll go over the methodology and results, and we'll also discuss some of the performance features and best practices that make this performance possible in Impala. Lastly, we'll look at some recent advancements in in Impala over the past few releases.
Evolution from Apache Hadoop to the Enterprise Data Hub by Cloudera - ArabNet...ArabNet ME
A new foundation for the Modern Information Architecture.
Speaker: Amr Awadallah, CTO & Cofounder, Cloudera
Our legacy information architecture is not able to cope with the realities of today's business. This is because it is not able to scale to meet our SLAs due to separation of storage and compute, economically store the volumes and types of data we currently confront, provide the agility necessary for innovation, and most importantly, provide a full 360 degree view of our customers, products, and business. In this talk Dr. Amr Awadallah will present the Enterprise Data Hub (EDH) as the new foundation for the modern information architecture. Built with Apache Hadoop at the core, the EDH is an extremely scalable, flexible, and fault-tolerant, data processing system designed to put data at the center of your business.
Building a Modern Analytic Database with Cloudera 5.8Cloudera, Inc.
Analytic workloads and the ability to determine “what happened” are some of the most common use cases across enterprises today - helping you understand and adapt based on changing trends. However, for most businesses today, they are only able to see a piece of the story. Analytics are limited by the amount of data able to be stored and ultimately accessed, it’s time-intensive to bring in new datasets or fit unstructured data into rigid schemas, and user access is constrained to a select few who must already know the questions they’re trying to answer.
It’s no surprise that big data is disrupting this modus operandi for analytics. A modern, Hadoop-based platform is designed to help businesses break free of these analytic limitations, providing a new kind of adaptive, high-performance analytic database. The recent release of Cloudera 5.8 continues to advance Cloudera Enterprise as the foundation for these analytic workloads.
Join Justin Erickson, Senior Director of Product Management at Cloudera, and Andy Frey, Chief Technology Officer at Marketing Associates, as they discuss:
-What technology is needed to build a modern analytic database with Hadoop
-What’s new with Cloudera 5.8
-How to align your teams around agile analytics
-Real world success from Marketing Associates
-What’s next for Cloudera Enterprise’s Analytic Database
Big Data Day LA 2016/ Use Case Driven track - How to Use Design Thinking to J...Data Con LA
There is a novel approach to identifying big data use cases, one which will ultimately lower the barrier to entry to big data projects and increase overall implementation success. This talk describes the approach used by big data pioneer and Datameer CEO Stefan Groschupf to drive over 200 production implementations.
The Transformation of your Data in modern IT (Presented by DellEMC)Cloudera, Inc.
Organizations have a wealth of data contained within the existing infrastructures. At DellEMC we’re helping customers remove the barriers of legacy datastores and transforming the customer experience in the modern datacentre. Learn how to unshackle the valuable data inside your existing data warehouse, leverage new techniques, applications and technology to enhance the financial impact of all your data sources
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
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
Consolidate your data marts for fast, flexible analytics 5.24.18Cloudera, Inc.
In this webinar, Cloudera and AtScale will showcase:
How a company can modernize their analytic architecture to deliver flexibility and agility to more end-users.
How using AtScale’s Universal Semantic layer can end the data chaos and allow business users to use the data in the modern platform.
Highlight the performance of AtScale and Cloudera’s analytic database with newly completed TPC-DS standard benchmarking.
Best practices for migrating from legacy appliances.
Data is being generated at a feverish pace and many businesses want all of it at their disposal to solve complex strategic problems. As decision making moves to real-time, enterprises need data ready for analysis immediately. Sean Anderson and Amandeep Khurana will discuss common pipeline trends in modern streaming architectures, Hadoop components that enable streaming capabilities, and popular use cases that are enabling the world of IOT and real-time data science.
Gartner Data and Analytics Summit: Bringing Self-Service BI & SQL Analytics ...Cloudera, Inc.
For self-service BI and exploratory analytic workloads, the cloud can provide a number of key benefits, but the move to the cloud isn’t all-or-nothing. Gartner predicts nearly 80 percent of businesses will adopt a hybrid strategy. Learn how a modern analytic database can power your business-critical workloads across multi-cloud and hybrid environments, while maintaining data portability. We'll also discuss how to best leverage the increased agility cloud provides, while maintaining peak performance.
Driving Better Products with Customer Intelligence Cloudera, Inc.
In today’s fast moving world, the ability to capture and process massive amounts of data and make valuable insights is key to gaining a competitive advantage. For RingCentral, a leader in Unified Communications, this is very true since they work with over 350,000 organizations worldwide. With such scale, it can be difficult to address quality issues when they appear while supporting additional calls.
Best Practices for Big Data Analytics with Machine Learning by DatameerDatameer
Don't forget! You can watch the full Datameer recording here:
http://info.datameer.com/Online-Slideshare-Big-Data-Analytics-Machine-Learning-OnDemand.html
Learn through industry use cases, how to empower users to identify patterns & relationships for recommendations using big data analytics.
Solving Big Data Challenges for Enterprise Application Performance ManagementTilmann Rabl
This is a presentation that was held at the 38th Conference on Very Large Databases (VLDB), 2012.
Full paper and additional information available at:
http://msrg.org/papers/vldb12-bigdata
Abstract:
As the complexity of enterprise systems increases, the need for monitoring and analyzing such systems also grows. A number of companies have built sophisticated monitoring tools that go far beyond simple resource utilization reports. For example, based on instrumentation and specialized APIs, it is now possible to monitor single method invocations and trace individual transactions across geographically distributed systems. This high-level of detail enables more precise forms of analysis and prediction but comes at the price of high data rates (i.e., big data). To maximize the benefit of data monitoring, the data has to be stored for an extended period of time for ulterior analysis. This new wave of big data analytics imposes new challenges especially for the application performance monitoring systems. The monitoring data has to be stored in a system that can sustain the high data rates and at the same time enable an up-to-date view of the underlying infrastructure. With the advent of modern key-value stores, a variety of data storage systems have emerged that are built with a focus on scalability and high data rates as predominant in this monitoring use case.
In this work, we present our experience and a comprehensive performance evaluation of six modern (open-source) data stores in the context of application performance monitoring as part of CA Technologies initiative. We evaluated these systems with data and workloads that can be found in application performance monitoring, as well as, on-line advertisement, power monitoring, and many other use cases. We present our insights not only as performance results but also as lessons learned and our experience relating to the setup and configuration complexity of these data stores in an industry setting.
How Intronis Reduced the Data Import Process With RingLead RingLead
"RingLead has been incredibly powerful. The power lies in its simplicity.”
Learn how Intronis uses RingLead to reduce the data import process from seven steps to one step.
Dimension Data – Enabling the Journey to the Cloud: Real Examplesitnewsafrica
Dimension Data – Enabling the Journey to the Cloud: Real Examples.
Presented by Grant Morgan, General Manager: Cloud at Dimension Data.
September 05, 2013 edition of the IT News Africa Innovation Dinner (www.innovationdinner.co.za)
You can view the full presentation of this webinar here: http://info.datameer.com/Slideshare-Fighting-Fraud-this-Holiday-Season.html
In 2012, retailers lost $3.5 billion in revenue to online fraud. These losses spike by a substantial estimated 20% during the holiday season.
Join Datameer and Hortonworks in this webinar to learn how Big Data Analytics can be used to identify new fraud schemes during peak fraud season.
In this webinar, you will learn about:
current challenges in identifying fraud
what to look for in a big data solution addressing fraud
how big data analytics can identify credit card fraud
best practices
Session about types of analytics. Descriptive, diagnostic, predictive and prescriptive analytics.
Conference DATA ANALYSIS DEVELOPMENT 2016 by RZECZPOSPOLITA.
Building a business intelligence architecture fit for the 21st century by Jon...Mark Tapley
Objectives of the presentation:
To record some history –what has happened in the past that makes the future quite challenging.
To provide real examples of BI at work –good and bad.
To illustrate the nature of data and why it has become so important in driving forward
the business in the 21stcentury.
To outline a way to align technology with the business so that efforts and budget are spent
in a way that will enable the future rather that support the past.
To propose a set of principles and ideas that can guide a company in a way to make data available to all who have the penchant to turn it into useful and valuable information.
To describe the new organisation unit that will be needed to realise the dream.
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
Hadoop and the Data Warehouse: When to Use Which DataWorks Summit
In recent years, Apache™ Hadoop® has emerged from humble beginnings to disrupt the traditional disciplines of information management. As with all technology innovation, hype is rampant, and data professionals are easily overwhelmed by diverse opinions and confusing messages.
Even seasoned practitioners sometimes miss the point, claiming for example that Hadoop replaces relational databases and is becoming the new data warehouse. It is easy to see where these claims originate since both Hadoop and Teradata® systems run in parallel, scale up to enormous data volumes and have shared-nothing architectures. At a conceptual level, it is easy to think they are interchangeable, but the differences overwhelm the similarities. This session will shed light on the differences and help architects, engineering executives, and data scientists identify when to deploy Hadoop and when it is best to use MPP relational database in a data warehouse, discovery platform, or other workload-specific applications.
Two of the most trusted experts in their fields, Steve Wooledge, VP of Product Marketing from Teradata and Jim Walker of Hortonworks will examine how big data technologies are being used today by practical big data practitioners.
Fueling AI & Machine Learning: Legacy Data as a Competitive AdvantagePrecisely
The data fueling your AI or machine learning initiatives plays a critical role. Different data sources provide different outcomes. The most important thing a business can do to prepare for success with AI and machine learning is to understand and provide access to all of the data that you can possibly get to. In addition to newer data sources, like IoT and Social Media, what will set your results apart – and give your business a competitive advantage – is powering AI and machine learning with your historical and proprietary data: the data sitting in your mainframe, legacy, and other traditional systems.
View this on-demand webcast with Wikibon Analyst James Kobielus as we discuss:
• Using your historical customer data to train predictive AI/ML models for effective target marketing
• Leveraging social, mobile, and IoT data to give your marketing an extra level of personalization
• Making the most of your legacy and proprietary data while protecting customer privacy and ensuring regulatory compliance
Hadoop in 2015: Keys to Achieving Operational Excellence for the Real-Time En...MapR Technologies
In this webinar, Carl W. Olofson, Research Vice President, Application Development and Deployment for IDC, and Dale Kim, Director of Industry Solutions for MapR, will provide an insightful outlook for Hadoop in 2015, and will outline why enterprises should consider using Hadoop as a "Decision Data Platform" and how it can function as a single platform for both online transaction processing (OLTP) and real-time analytics.
This 30-minute webcast is for IT Architects, Engineers, and CIOs who build and manage globally distributed applications. Learn about the evolving landscape of big data as it relates to mission-critical systems like trading platforms, intelligence networks, logistics, and more. We also cover existing solutions for big data movement including data fabrics.
The Next Generation of Big Data AnalyticsHortonworks
Apache Hadoop has evolved rapidly to become a leading platform for managing and processing big data. If your organization is examining how you can use Hadoop to store, transform, and refine large volumes of multi-structured data, please join us for this session where we will discuss, the emergence of "big data" and opportunities for deriving business value, the evolution of Apache Hadoop and future directions, essential components required in a Hadoop-powered platform, and solution architectures that integrate Hadoop with existing data discovery and data warehouse platforms.
Jan 2017 Investment Recommendation for Tableaupaulchenuva
Buy Tableau was one of my stock pitches in 2017. I was predicting a 2x return. Instead, Tableau's stock increased over 4x since. Great to see Salesforce's acquisition today. Would love to hear your comments and feedback.
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.
Getting Started with Big Data for Business ManagersDatameer
Big Data has become critical to the enterprise because of the massive amount of untapped data sources, and the potential to gain new insights that were previously not possible. So, how to get started with Big Data and Hadoop becomes a question more pertinent than ever before.
Listen to leading analyst at Ovum, Tony Baer, as he discusses answers to the key questions around how to:
Approach Big Data and associated business challenges
-- Identify what types of new insights can be revealed by Big Data
-- Staff for this undertaking and implement the technology necessary to be successful
-- Take the first steps toward getting started with Big Data on Hadoop
Introducing the Big Data Ecosystem with Caserta Concepts & TalendCaserta
In this one-hour webinar, Caserta Concepts and Talend described an approach to achieve an architectural framework and roadmap to extend a traditional enterprise data warehouse environment, into a Big Data ecosystem.
They illustrated the architectural components involved for collecting, analyzing and delivering Big Data, with a focus on the importance of Hadoop, Data Integration, Machine Learning, NoSQL, Business Intelligence and Analytics.
Attendees learned:
Which Big Data technologies can’t be ignored
Considerations when extending the data ecosystem
What happens to your existing investment
What are the points of integration
Does Big Data = better data?
To find access the recorded webinar or to learn more, visit http://www.casertaconcepts.com/.
MongoDB IoT City Tour STUTTGART: Hadoop and future data management. By, ClouderaMongoDB
Bernard Doering, Senior Slaes Director DACH, Cloudera.
Hadoop and the Future of Data Management. As Hadoop takes the data management market by storm, organisations are evolving the role it plays in the modern data centre. Explore how this disruptive technology is quickly transforming an industry and how you can leverage it today, in combination with MongoDB, to drive meaningful change in your business.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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
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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
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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
