Tackling Big Data Analytics with Oracle Data Integrator

Posted by Irem Radzik on Oracle Blogs See other posts from Oracle Blogs or by Irem Radzik
Published on Fri, 21 Sep 2012 16:06:57 +0000 Indexed on 2012/09/21 21:50 UTC
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 By Mike Eisterer

 The term big data draws a lot of attention, but behind the hype there's a simple story. For decades, companies have been making business decisions based on transactional data stored in relational databases. Beyond that critical data, however, is a potential treasure trove of less structured data: weblogs, social media, email, sensors, and documents that can be mined for useful information.

 Companies are facing emerging technologies, increasing data volumes, numerous data varieties and the processing power needed to efficiently analyze data which changes with high velocity.

Oracle offers the broadest and most integrated portfolio of products to help you acquire and organize these diverse data sources and analyze them alongside your existing data to find new insights and capitalize on hidden relationships

Oracle Data Integrator Enterprise Edition(ODI) is critical to any enterprise big data strategy. ODI and the Oracle Data Connectors provide native access to Hadoop, leveraging such technologies as MapReduce, HDFS and Hive. Alongside with ODI’s metadata driven approach for extracting, loading and transforming data; companies may now integrate their existing data with big data technologies and deliver timely and trusted data to their analytic and decision support platforms. In this session, you’ll learn about ODI and Oracle Big Data Connectors and how, coupled together, they provide the critical integration with multiple big data platforms.

Tackling Big Data Analytics with Oracle Data Integrator

October 1, 2012 12:15 PM at MOSCONE WEST – 3005

For other data integration sessions at OpenWorld, please check our Focus-On document

If you are not able to attend OpenWorld, please check out our latest resources for Data Integration.

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