In my previous blog,
I shared with you the
five key data integration requirements, which can be summarized as: integrating any data from any source, stored on premise or in
the cloud, with maximum performance and availability, to achieve 24/7 access to timely
and trusted information. Today, I want to focus on the requirement for integrating “any data”.
We all feel the impact of huge growth in the
amount of raw data collected on a daily basis. And big
data is a popular topic of information technology these days. Highly complex, large volumes of data bring opportunities
and challenges to IT and business audiences. The opportunities, as discussed in McKinsey’s
report, are vast, and companies are ready to tap into big data to differentiate
and innovate in today’s competitive world.
One of the key challenges of big data is
managing the unstructured
data, which is estimated to be %80 of enterprise data. Structured and
unstructured data must coexist and be used in conjunction with each other in
order to gain maximum insight. This means, organizations must collect,
organize, and analyze data from sensors, conversations, e-commerce websites,
social networks, and many other sources.
Big data also changes the perspective into information
management. It changes the question from “How do you look at your data?” to “How do you look at the
data that is relevant to you?” This shift
in perspective has huge implications in terms of information-management best
practices and technologies applied. Data integration technologies now need to
support unstructured and semi-structured data, in addition to structured transactional
data, to be able to support a complete picture of the enterprise that will drive higher efficiencies,
productivity and innovation.
Oracle addresses big
data requirements with a complete
In addition to Oracle Big Data Appliance for acquiring and
organizing big data, Oracle offers Oracle Big Data Connectors that enable an
integrated data set for analysis. Big Data Connectors is a software suite that
integrates big data across the enterprise. Oracle Data Integrator offers an Application
Adapter for Hadoop, which is part of the Big Data Connectors, and allows organizations to build Hadoop metadata within
Oracle Data Integrator, load data into Hadoop, transform data within Hadoop,
and load data directly into Oracle Database using Oracle Loader for Hadoop. Oracle Data Integrator has the
necessary capabilities for integrating structured, semi-structured, and
unstructured data to support organizations with transforming any type of data into real value.
you would like to learn more about how to use Oracle’s data integration
offering for your big data initiatives take a look at our resources on Bridging
the Big Data Divide with Oracle Data Integration.