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Multi-genre Advanced Analytics to Optimize your Hadoop Data Lake

Event Details

Multi-genre Advanced Analytics to Optimize your Hadoop Data Lake

Time: August 2, 2016 from 9am to 10am
Location: Online
Website or Map: http://bit.ly/29MfIwv
Event Type: dsc, webinar
Organized By: Bill Vorhies, Editorial Director -- Data Science Central
Latest Activity: Jul 21, 2016

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Event Description

Space is limited.

Reserve your Webinar seat now

Multi-genre Advanced Analytics  to Optimize your Hadoop Data Lake

Hadoop Data Lakes have emerged in recent years in response to organizations looking to economically harness and derive value from exploding data volumes. While most organizations have realized cost savings benefits in the area of data integration optimization and economically archiving data, many continue to be challenged in driving broad enterprise data lake adoption enabling critical business decisions for direct revenue impact. As Hadoop enters its 10th year as platform technology, the industry is at a tipping point where applications built on top of Hadoop data lakes must overcome the necessity of premium coding skills in order to access and analyze the vast amounts of data in the lake.   

Join us for our latest Data Science Central Webinar as we discuss:

  • Challenges and opportunity lying in your data lake
  • Power of multi-genre analytics
  • Exploring real-world use cases

Speaker:
John Thuma, Big Data & Advanced Analytic Director --Teradata 

Hosted by
Bill Vorhies, Editorial Director -- Data Science Central

Again, Space is limited so please register early:

Reserve your Webinar seat now

 

After registering you will receive a confirmation email containing information about joining the Webinar.

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