ITU-T Standard on Cloud-Based Big Data Achieves First-Stage Approval
ITU members have achieved first-stage approval (‘consent’) of the first ITU-T standard on Big Data. The standard details the requirements, capabilities and use cases of cloud-based Big Data as well as its ‘system context’, a high-level view of a cloud-based Big Data system and its relationships with other entities.
The new standard, Recommendation ITU-T Y.3600 “Requirements and capabilities for cloud computing based big data”, was developed by ITU-T’s expert group responsible for future networks, cloud computing and network aspects of mobile communications, ITU-T Study Group 13.
ITU-T Y.3600 describes the meaning of Big Data and the characteristics of the Big Data ecosystem from a standardization perspective. The standard outlines how cloud computing systems can be leveraged to provide Big Data services, assisting industry in the management of large datasets incapable of being transferred and analyzed using traditional data-management technologies.
In addition to its description of the fundamentals of cloud-based Big Data, ITU-T Y.3600 provides definitions of Big Data and Big Data as a Service (BDaaS):
Big Data is a paradigm for enabling the collection, storage, management, analysis and visualization, potentially under real-time constraints, of extensive datasets with heterogeneous characteristics.
BDaaS is a cloud service category in which the capabilities provided to the cloud service customer are the ability to collect, store, analyze, visualize and manage data using Big Data technologies.
About Gary Price
Gary Price (firstname.lastname@example.org) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.