5 ways to optimize data lake costs

Five Ways to Optimize Data Lake Costs for Ad-hoc Analytics, Streaming Analytics, and Machine Learning

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Conducting data and streaming analytics in the cloud offers unique cost, performance, speed, and accessibility advantages.

However, data in the cloud also means greater unpredictability of both workload sizes and the associated costs. Costs can easily spiral out of hand, and you may not even notice until they do.

Open this white paper to find five ways to optimize data lake costs for ad-hoc analytics, streaming analytics, and machine learning.

Vendor:
Qubole
Posted:
10 Jul 2020
Published:
10 Jul 2020
Format:
PDF
Length:
17 Page(s)
Type:
White Paper
Language:
English
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