In-Database Analytics: Transforming The Data Warehouse Into The New Analytic Application Server

Air Date: Tuesday, September 08, 2009

Cost: $250

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Presented By:

Who should attend: Business Process & Applications professionals

Description:

Information & Knowledge Management (I&KM) professionals are adopting an emerging practice known as "in-database analytics." Under this approach, I&KM pros can migrate their predictive analysis (PA), data mining (DM), and other compute-intensive analytic functions to the enterprise data warehousing (EDW) platform to leverage its full parallel-processing, partitioning, scalability, and optimization features. Fundamentally, what this means is that the EDW is evolving into a specialized application server that executes analytics business logic. As regards PA/DM, in-database analytics offers many operational advantages over the traditional approach, under which modelers deploy project-specific analytic data marts that are physically separate from the EDW. In-database analytics can help enterprises cut costs by consolidating analytical data marts into the EDW. I&KM professionals should take advantage of in-database analytics features — such as stored procedures and user-defined functions — in their current EDW platforms, while evaluating the growing range of sophisticated solutions that offer this functionality through open frameworks such as MapReduce and Apache Hadoop and can mine both structured and unstructured content.

Agenda:

• Advanced analytics thrives on deep data, processing power.
• Analytics migrating EDW — where the data lives
• MapReduce/Hadoop gaining traction but not whole in-database analytics story
• In-database analytics promising but far from mature

Vendors mentioned: Amazon, Aster Data, Cloudera, Google, Greenplum, IBM, Microsoft, Netezza, Oracle, SAP, SAS, SPSS, Sybase, Teradata, Yahoo!

Related Research:

The Forrester Wave™: Enterprise Data Warehousing Platforms, Q1 2009

by James G. Kobielus, February 6, 2009

OLAP: In Fashion Or Old-Fashioned?

by Boris Evelson, James G. Kobielus, November 7, 2008

Implementing Your Business Intelligence Solutions Center

by Boris Evelson, James G. Kobielus, November 4, 2008

The Forrester Wave™: Enterprise Business Intelligence Platforms, Q3 2008

by Boris Evelson, July 31, 2008

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