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Activate your Data Lake for AI with Intelligent Data Cataloging

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While data lakes solve a few major pain points of traditional relational database infrastructures, they suffer from their own set of issues.

  • What data should we put in the lake?
  • Who is going to use it?
  • How do we make it easy for them to find?
  • How do we prevent data from being misused?

These questions and more all surface after data lakes projects stagnate due to incompatibilities with a business workflow.

If you feel your data lake project is dead in the water, read this white paper for tips on diagnosing the problem and then choosing the best solution for you.

Vendor:
IBM
Posted:
22 Feb 2019
Published:
31 Dec 2018
Format:
PDF
Type:
White Paper
Language:
English

This resource is no longer available.