Apache: Big Data 2016

It's no surprise that application developers find it difficult to keep up with the breathtakingly large ecosystem of new and emerging Hadoop-related technologies. Hadoop, its components, and Hadoop Distros, are innovating very quickly and in different ways.

What's needed to push Hadoop even further in the enterprise is standardization and simplification. That's the mission behind the new Open Data Platform initiative (ODPi) that launched last year and warrants extra explanation.

In this session, Alan Gates, Co-Founder of Hortonworks will outline why close to 30 companies came together to be part of the the nonprofit ODPi. Organized to support the ASF, ODPi promotes innovation and development of upstream projects like Hadoop and Ambari. While not a distribution, ODPi Core is a stable base against which big data solutions providers can qualify solutions over multiple Apache Hadoop® distributions. ODPi Core is a set of software components, a detailed certification and a set of open source tests to make it easier to create big data solutions and data-driven applications.

 The well-defined ODPi Core and ODPi Certification Program are designed to drive interoperability, a broad set of use cases and major growth for the big data ecosystem, not to mention a new level of choice for enterprises and end users. The reference implementation frees up developers and SIs to focus on building business-driven applications for things like fraud detection, customer behavior and data warehouse optimization