Tackling Big Data Analytics with Oracle Data Integrator
- by Irem Radzik
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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.
