#ODPi, a nonprofit organization accelerating the open ecosystem of big data solutions, announced the availability of ODPi 2.0, which includes the first release of the #ODPiOperationsSpecification and the #RuntimeSpecification 2.0, to standardize the development model for big data solution and application providers and help enterprises improve installation and management of #Hadoop -based applications. With more than 30 members, including recently announced #DriveScale, #Redoop, and #Xavient Information Systems, ODPi is focused on simplification and standardization within the big data ecosystem and further advancing the work of the #Apache Software Foundation. Designed to make it easier to create big data solutions and data-driven applications, ODPi adds Apache Hive and Hadoop Compatible File System support (HCFS) as part of the ODPi Runtime Specification 2.0. Additionally, the ODPi 2.0 release includes Operations Specification 1.0, which provides standard guidelines for application management tools serving as reference platforms; including Apache Ambari. With the release of the first Operations Specification, ODPi is moving standardization forward for Apache projects in a pragmatic, fluid way that embraces developer input,” said John Mertic, Director of ODPi. “ODPi specifications are based input from developers and enterprises and how they are actually big data technologies in production environment and address real issues they’ve encountered. Our technical team developed this latest release knowing that the SQL layer, backend storage, and how applications should be installed, managed and configured in a Apache Hadoop cluster are important to them. We’ll continue to iterate on previous releases and seek industry input to ensure that we are tackling the critical issues that benefit the wider big data ecosystem.”
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