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While data lakes have earned themselves a reputation as useful tools for storing unstructured data or training ML models, they can also be known for their expensive maintenance costs.

A lack of auto scaling capabilities, wasteful space usage, or another oversight could be at the root of data lake spend.

Check out this Qubole webcast to discover their useful data lake saving tips, including:

  • Optimizing data processing costs in the cloud
  • Tactics for tackling wasteful spend
  • Data lake financial best practices
  • And more
Vendor:
Qubole
Posted:
Feb 8, 2021
Published:
May 25, 2020
Format:
HTML
Type:
White Paper

This resource is no longer available.

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