Maximizing Analytic Value: Attributes a NoSQL Analytics System Must Have

Posted July 7, 2016 in Business Technology & Digital Transformation Strategies, Data Analytics & Digital Technologies, Digital Transformation & Innovation Bootcamp Cutter Business Technology Journal

This article explores a single concern: describing the system-level capabilities required to derive maximum analytic value from a generalized model of NoSQL data. A generalized model is a model that works across all data sources no matter what type of data is present. Generalized analytics can answer all questions, from simple to complex, across all data types. This approach leads to eight well-defined, objective attributes, which collectively form a precise capabilities-based definition of a NoSQL analytics system.

About The Author
Jeff Carr
Jeff Carr is cofounder and CEO of SlamData. Mr. Carr’s career has focused on early stage companies in markets, including network security, VoIP, and big data. He started his career with NCR Corporation, where he spent eight years in the Data Services Division until NCR’s acquisition by AT&T. Mr. Carr then moved to Oracle in the applications division, focusing on major telcos in the western US and Latin America. In 1997 he joined Netscape… Read More
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