10 do's and don'ts for BI on a data lake

Succeed with BI on the Data Lake


A data lake is a home for raw data in its native format – but at some point, your business will likely want to understand that data and leverage it for new insights.

Getting business intelligence (BI) out of the data lake can be tricky, given that that the data can come in a variety of forms and you need to ensure its veracity too.

Listen to this webcast for tips on how to get BI out of a data lake from CDOs who have done it themselves, including 10 do’s and don’ts. A few to remember:

  • Focus on 6-month delivery cycles
  • Move beyond MDM and become more like Google
  • Don’t let infrastructure and platform drive your initiative
  • And 7 more
Apr 13, 2018
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