Everyone knows the three Vs - volume, velocity, and variety - of big data but what’s required is a solution that can extract valuable insights from new sources such as social networks email, sensors, connected devices as sensors, the web, and smartphones.
Addressing the three Vs are the combined forces of open source, with its rapid crowd-sourced innovation, cloud, with its unlimited capacity and on-demand deployment options, and NoSQL database technologies, with their ability to handle unstructured, or schema-less, data.
One of the most promising big data frameworks is Apache Hadoop, with organizations creating a flourishing and robust ecosystem around the solution.
Hadoop at the core of any system allows diverse users and application workloads to pool data on common infrastructure; offers a variety of security tools; governs data auditing, linage and discovery; manages native high-availability, fault-tolerance and self-healing storage, automated backup and disaster recovery, and advanced system and data management; and utilizes open source technology to ensure data and applications remain tied to the user.
Here are the winners of the 2016 DBTA Readers’ Choice Awards for Best Big Data Solution:
Winner:
Hortonworks
Finalists:
Teradata Aster
Oracle Database 12c