This resource is no longer available

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:

Feb 8, 2021

Published:

Jul 10, 2020

Format:

PDF

Type:

White Paper