Building a Cognitive Data Management Strategy (And Why Doing So is Suddenly So Important)

Data management is the core task of IT, yet it has been sadly undervalued and largely ignored for the past thirty years. Data management problems are often approached from a storage perspective, which leads to vendor lock-in, management complexity, and difficulty incorporating emerging technologies in a heterogeneous environment. — However, the unprecedented growth of data – in the 10-60 zettabyte range by 2020 – has larger firms and public cloud services, who are concerned about how they will store all the data cost-effectively, suddenly very interested in developing a data management strategy that combines the latest technologies into a serviceable cognitive data management capability that can help bridge incompatible point solutions. — Media and entertainment has, in many respects, been on the leading edge of the data explosion. It makes sense that M&E will also be on the cutting edge of solutioneering to realize the cognitive data management vision. — This paper looks at the drivers of, the requirements for, and the essential functionality of cognitive data management strategy, and how these principles may apply to M&E workflows. In addition, the paper will show how such a metadata-centric approach can help companies overcome data silos and enable IT planners to take advantage of any storage technology without impacting users, or adding IT management complexity.

Published

2017-10

Content type

Original Research

Keywords

Data Management, metadata managment, storage resource management, data migration, archive, cognitive computing

DOI

10.5594/M001796

ISBN

978-1-61482-959-1