3 considerations to turn an AWS data lake into speedy insights

Power Your AWS Data Lake With AI-Driven Data Management

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An Amazon Web Services (AWS) data lake is becoming a popular choice for many businesses – but it won’t lead to quick insights without an intelligent data management strategy.

To optimize an AWS data lake and avoid the slow processes of legacy management platforms, enterprise data architects should consider a systematic, artificial intelligence (AI)-driven data management strategy.

Use this white paper to help build a data lake strategy that will make you a data-driven business and is structured around these 3 considerations:

  • Understand the business goals and objectives
  • Use agile development methodologies
  • Take a metadata approach to data management
Vendor:
Informatica
Posted:
14 Feb 2018
Published:
14 Feb 2018
Format:
PDF
Length:
12 Page(s)
Type:
White Paper
Language:
English
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