Oracle’s wants to eliminate data silos with Big Data SQL

Hadoop continues to operate as a looming influence in the world of big data, and that holds true with the unveiling of the next step in Oracle’s big data roadmap. The Redwood Shores, Calif.-headquartered corporation introduced Oracle Big Data SQL, SQL-based software streamlining data running between the Oracle Database with NoSQL and Hadoop frameworks. The approach is touted to minimize data movement, which could translate to faster performance rates for crunching numbers while also reducing security risks while in transit. Big Data SQL promises to be able to query any and all kinds of structured and unstructured data. Oracle Database’s security and encryption features can also be blanketed over Hadoop and NoSQL data. Beyond extending enterprise governance credit, Oracle connected plenty of dots within its portfolio as well. Big Data SQL runs on Oracle’s Big Data Appliance and is set up to play well with the tech titan’s flagship Exadata database machine. The Big Data SQL engine also borrowed other familiar portfolio elements such as Smart Scan technology for local data queries from Exadata. The Big Data Appliance itself was built on top of Oracle’s cloud distribution, which has been in the works for the last three years.