Oracle has introduced Oracle Big Data SQL, a tool that allows customers to run one SQL query across Hadoop, NoSQL, and Oracle Database, minimising data movement while virtually eliminating data silos.
Oracle Big Data SQL enables customers to gain a competitive advantage by making it easier to uncover insights faster, while protecting data security and enforcing governance. Furthermore, this approach enables organizations to leverage existing SQL investments in both people skills and applications.
Oracle Big Data SQL runs on Oracle Big Data Appliance, which includes Hadoop and NoSQL database software, and can work in conjunction with Oracle Exadata Database Machine.
With a unique architecture and Smart Scan technology inherited from Oracle Exadata, Oracle Big Data SQL can query all forms of structured and unstructured data while minimising data movement, enabling dramatically faster analysis for data distributed across Hadoop, NoSQL, and Oracle Database, the company said.
"As organisations increasingly use diverse data sources beyond relational databases, such as Hadoop and NoSQL, data is becoming more and more siloed-hampering data analysis and insights and limiting the true potential of big data," said Andrew Mendelsohn, executive vice president, Database Server Technologies, Oracle. "Oracle Big Data SQL harnesses the popular, proven SQL query language to break down these silos and finally bring big data into the mainstream of an enterprise. Oracle continues its leadership in database innovation with this simple yet powerful way for organisations to access all of their data, leverage existing investments and skills, and gain new value and insights that can transform their business."
Oracle Big Data SQL extends the advanced security capabilities of Oracle Database to Hadoop and NoSQL data. With Oracle Big Data SQL, customers can take advantage of Oracle Database security solutions for data redaction, privilege analysis, and strong controls that limit privileged user access to data.
Oracle Big Data SQL is scheduled for general availability in Q3 of CY2014.
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Updated Date: Jul 16, 2014 14:29:15 IST