jthuma

WEBINAR REPLAY:  A4H:  Multi-genre Advanced Analytics to Optimize your Hadoop Data Lake

Blog Post created by jthuma on Aug 11, 2016

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

 

WEBINAR REPLAY:

Multi-genre Advanced Analytics to Optimize your Hadoop Data Lake

 

Multi-genre Advanced Analytics to Optimize your Hadoop Data Lake - Data Science Central 

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