Oracle has bolstered its database portfolio with the Oracle Data
Integrator (ODI), a piece of middleware designed to help analysts sift
through big data across a variety of sources.
As the name suggests, the ODI effectively eases the process of
linking data in different formats and from diverse databases and
clusters, such as Hadoop, NoSQL and relational databases.
This enables Oracle customers to conduct analysis on large and varied
datasets without dedicating time and resources to preparing big data in
an integrated and secure way prior to analysis.
In effect, the ODI allows huge pools of data to be treated as just
another data source to be used alongside more regularly accessed data
warehouses and structured databases.
Jeff Pollock, vice president of product management at Oracle, claimed
that the ODI allows customers to be experts in extract, transform and
load tools without learning the code needed to carry out such actions.
"Oracle is the only vendor that can automatically generate Spark,
Hive and Pig transformations from a single mapping which allows our
customers to focus on business value and the overall architecture rather
than multiple programming languages," he said.
Avoiding the need for proprietary code means that the ODI can be run
natively with a company's existing Hadoop cluster, bypassing the need to
invest in additional development.
Cluster databases like Hadoop and Spark have traditionally been
geared towards programmers with knowledge of the coding needed to
manipulate them. On the flipside, analysts would mostly use software
tools to carry out enterprise-level data analytics.
The ODI gives the non-code savvy analyst the ability to harness
Hadoop and other data sources without requiring the coding knowledge to
do so.
It also means that a company's developers need not retrain to handle
multiple databases. Oracle is touting this as a way for companies to
save money and time on big data analysis.
Oracle's move to build its portfolio to focus on delivering direct
data insights for its customers is indicative of the business-focused
direction big data analytics are heading, underlined by Visa's head of analytics saying big data projects must focus on making money.
Credit: V3
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