Recognising the needs of evolving data management architecture in organisations Oracle launched Big Data SQL software as a way for integrating a variety of data sources, including Hadoop, NoSQL and Oracle Database.
One option is a full-stack solution, an engineered system that combines Oracle’s Big Data Appliance with Big Data SQL, Cloudera‘s Hadoop distribution and Oracle’s own NoSQL Database. At launch Oracle Big Data SQL only supports Apache Hive and the Hadoop File System. Other vendors have ported SQL relational databases to run on top of Hadoop.
The goal of creating this Big Data management system is to have one SQL query to run across diverse data sources and enable organisations to leverage existing skills and maintain enterprise-grade data security and governance for sensitive or regulated information. To help speed data analysis and distribution Oracle says that its unique architecture and Smart Scan technology inherited from Oracle Exadata permits Oracle Big Data SQL to query all forms of structured and unstructured data while minimising data movement.
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