How to accelerate query performance for BI and data science workloads

Data-as-a-Service on the Data Lake

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Enterprises have been using data lakes to take advantage of their flexibility, cost model, elasticity, and scalability – but access to the data is a challenge for analysts and BI users.

In this webinar, Kelly Stirman VP of Strategy at Dremio discusses how to:

  • Create a self-service semantic layer across all of your data sources, including your data lake
  • Accelerate query performance for BI and data science workloads
  • Secure, govern and mask sensitive data from any source
  • And more
Vendor:
Dremio
Premiered:
Apr 29, 2019
Format:
Multimedia
Type:
Webcast
Language:
English
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