MapReduce processing is a new approach to big data analysis, but understanding how MapReduce works and what this might mean for your business, may at first seem daunting.

 

Do you need specialized data scientists to overcome the big data challenge? How is MapReduce different from SQL, stored procedures, or user-defined functions (UDF's)? What about Hadoop MapReduce and Hive QL? What is the relationship with big data and big data analytics?

 

Through this webcast, you will receive an overview on the MapReduce framework and best practice implementations to bring the power of MapReduce processing to business analysts and hear how, by combining SQL and MapReduce, a platform is created that is scalable and productive.

 

Topics covered include:

 

Understanding MapReduce vs. SQL, UDF's, and other analytic techniques
How SQL developers and business analysts can become “data scientists”
Fitting MapReduce into your BI/DW technology stack
Making the power of MapReduce available to the larger business community

 

 

FEATURED SPEAKERS:



 

Rick F. van der Lans,
Managing Director,
R20/Consultancy

Steve Wooledge,
Sr. Director Marketing,
Teradata Aster

 
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