5 Ways To Scale BI on Hadoop

AtScale

At a recent online session Josh Klahr, VP of Product Management at AtScale discussed the top challenges of scaling BI on Hadoop with Nino Bice, Principal Product Manager at Microsoft, and Hal Lavendar, AVP and Chief Architect at Cognizant Technologies. Join this session as they discuss the 5 key ways to meet those challenges head-on. They'll cover how to:
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Spotlight

The purpose of this paper is to articulate how the Kognitio Analytical Platform can dramatically add business value to a Hadoop Data Lake (HDL). Kognitio delivers ultra-fast high-concurrency SQL on Hadoop. Hadoop (HDFS file system) is becoming the de-facto repository for Data Lakes. By selecting Hadoop as the persistence engine, organizations can have a truly scalable repository for all of their Big Data requirements. In addition, the repository can also store the metadata, keys and pointers to the wide range of operational data which may be stored in business applications, data warehouses, files and legacy systems. HDL is therefore the beneficiary recipient of all of the cleansed, trusted, secure quality data that is available.


OTHER ON-DEMAND WEBINARS

Big data storage: options & recommendations storage: options & recommendations

WANdisco

Hadoop clusters are often built around commodity storage, but architects now have a wide selection of Big Data storage choices, including solid-state or spinning disk for clusters and enterprise storage for compatibility layers and connectors.In this webinar, our experts will review the storage options available to Hadoop architects and provide recommendations for each use case, including an active-active replication option that makes data available across multiple storage systems.
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Battery Data Acquisition and Analysis Using MATLAB

In this webinar, MathWorks engineers will demonstrate how to acquire and analyze battery discharge data using MATLAB. They will show techniques for aligning data traces with different timestamps, repairing datasets with missing data, rejecting noisy data, and other tasks needed for battery modeling and battery management system (BMS) development.
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Getting Beyond the Hype: Why Hadoop is not a Panacea for All Things Big Data

HPE

You can’t talk about big data today without hearing about Hadoop. For many people, Hadoop is synonymous with big data, but it’s not necessarily the best tool for every use case and every project. Before committing to it, businesses need to ignore the hype, look at their needs, and determine if and where Hadoop fits into their big data initiatives.Join Bill Theisinger, vice president of engineering for platform data services at YP(sm), formerly known as YellowPages.com, to hear how his company is maximizing the value they get from Hadoop by supplementing it with HPE Vertica, an analytical database.
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Truth or Dare: Real World Applications of Predictive Analytics

PCA Predict & Triggar

What’s the truth about using predictive analytics – the possibilities and reality; and dare you use it? Do you have the technical ability to implement it, and the tools to do something in response to the predictions? In this webinar we’ll look at the full spectrum of technology and benefits, then tear it down into something we can actually use now, that’s not scary and delivers measurable value to you and your customers.
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Spotlight

The purpose of this paper is to articulate how the Kognitio Analytical Platform can dramatically add business value to a Hadoop Data Lake (HDL). Kognitio delivers ultra-fast high-concurrency SQL on Hadoop. Hadoop (HDFS file system) is becoming the de-facto repository for Data Lakes. By selecting Hadoop as the persistence engine, organizations can have a truly scalable repository for all of their Big Data requirements. In addition, the repository can also store the metadata, keys and pointers to the wide range of operational data which may be stored in business applications, data warehouses, files and legacy systems. HDL is therefore the beneficiary recipient of all of the cleansed, trusted, secure quality data that is available.

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