Ammon News - AMMONNEWS - Organizations are looking for innovative ways to manage more data from more sources than ever before. Although technologies like Hadoop and NoSQL offer specific ways of addressing big data problems, they can introduce data silos that complicate the data access and analysis needed to generate critical insights. To maximize the value from information and deliver on the promise of big data, companies need to evolve their data management architecture into a big data management system that seamlessly integrates all types of data from a variety of sources, including Hadoop, relational, and NoSQL. While simplifying access to all data, a big data management system should also enable organizations to leverage existing skills and maintain enterprise-grade data security and governance for sensitive or regulated information.

To address organizations’ need for comprehensive big data solutions, Oracle today introduced Oracle Big Data SQL, an essential part of a big data management system. Breaking down data silos to simplify information access and discovery, the offering allows customers to run one SQL query across Hadoop, NoSQL, and Oracle Database, minimizing data movement while increasing performance and 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.