The #Hadoop standardisations body, ODPi, has today made its 2.0 release generally available. Formerly the Open Data Platform initiative, now known only as #ODPi, the second iteration of the Hadoop interoperability program will include updated specifications for runtime. Where its previous release had established standards for core parts of Hadoop – including #Yarn, #MapReduce, and #HDFS – it now also supports Apache Hive and Hadoop Compatible File System components. Additionally, the ODPi Operations Specification 1.0 is released, providing guidelines for application management tools with #Ambari as a reference platform. The idea is that by “providing common expectations in guidelines, developers are able to create data-driven applications for all management tools used by platform providers” while minimising the “complexity, cost and training needed to build big data applications”. Intended to standardise the development model for those flogging big data products and related applications, the initiative has continued to be a source of contention for those working in the Hadoop space, with #Cloudera and MapR criticising the consortium of companies behind the project. Other critics claim Hadoop vendor Hortonworks appears to benefit most from the project rather than the ecosystem as a whole. Talking to The Register, Charaka Goonatilake, CTO at Panaseer, which offers Hadoop-based security analytics software, said he admired "the community effort to drive standardisation as it's sorely needed in the heavily fragmented Hadoop industry." However, Goonatilake added: "In the absence of support from the Hadoop powerhouses, Cloudera and MapR, I believe it'll ultimately be a futile initiative."
http://www.theregister.co.uk/2016/11/14/odpi_20/
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