Data Management Moves to the Fore. Part 4: Why Cognitive Data Management?
Posted by Jon Toigo on May 11, 2017
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In previous installments of this blog, we have deconstructed the idea of cognitive data management (CDM) to identify its “moving parts” and to define what each part contributes to a holistic process for managing files and more structured content.

First and foremost, CDM requires a Policy Management Framework that identifies classes of data and specifies their hosting, protection, preservation and privacy requirements of each data class over its useful life.  This component reflects the nature of data, whose access requirements and protection priorities tend to change over time.

Elements of a Cognitive Data Management platform

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Data Management Moves to the Fore. Part 3: Data Management Requires Storage Resource and Services Management Too
Posted by Jon Toigo on April 7, 2017
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Previously, we discussed how data might be classified and segregated so that policies could be developed to place data on infrastructure in a deliberative manner – that is,  in a way that optimizes data access, storage resources and services, and storage costs over the useful life of the data itself.  From the standpoint of cognitive data management, data management policies constitute the instructions or programs that the cognitive engine processes to place and move data on and within infrastructure over time.

Cognitive Data Management Facility

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