[On-Demand Webinar] Multi-Genre Advanced Analytics to Optimize your Hadoop Data Lake

Document created by Dolletta.Mitchell@Teradata.com on Aug 3, 2016Last modified by Dolletta.Mitchell@Teradata.com on Jan 25, 2017
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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.

 

In the webinar John Thuma discusses:

  • 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

 

Originally published by: Data Science Central

 


 

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