MapReduce Webinar Series:
MapReduce for Data Warehousing, Analytics
 

To overcome the issues of data movement and high latency, Aster Data 4.0 brings application logic inside Aster Data's MPP database. By embedding applications with SQL-MapReduce, Aster Data 4.0 enables ultra-fast analysis on big data sets and allows for a new generation of interactive, big data applications.
Register for this webinar featuring Anand Rajaraman, CEO and Founder of Kosmix and Consulting Assistant Professor in the Stanford University Computer Science Department. You will learn about:
Expressive Flexibility – polymorphic SQL-MapReduce functions can be written with any popular language including Java, C#, Python, Perl, and more.
Reusability of SQL-MapReduce components - SQL-MR functions can be reused by analysts as simple SQL extensions or through standard BI tools.
High Performance – eliminates I/O bottlenecks by moving computation into the database; dynamically optimize execution of SQL-MR queries via a cost-based optimizer.

For questions regarding this event, please contact info@asterdata.com.

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Introducing MapReduce
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- MapReduce for DW and Analytics

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