The fundamentals of data lifecycle management in the era of big data

The fundamentals of data lifecycle management in the era of big data

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The volume, variety, and velocity of big data make it difficult to ensure the information is trusted and protected -- traditional, manual methods of governance just aren't up to the task. In order to protect information and achieve greater accuracy of insights, data integration and governance need to be automated and built in from the start, throughout the data lifecycle.

In this resource, explore the challenges of managing big data and get best practices for data lifecycle management at the enterprise level. Get advice on topics such as:

  • Data archiving
  • Test data management
  • Data masking
  • And more
Vendor:
IBM
Posted:
26 Dec 2013
Published:
31 Aug 2013
Format:
PDF
Length:
17 Page(s)
Type:
White Paper
Language:
English
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