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When processing data, you know that you have to deal with the problems of data variety, volume, velocity and veracity. Unfortunately, it often seems like a choice has to be made between these “four Vs” and your operational costs.

Dealing with these data problems while controlling costs requires that you have a data engine that can effectively scale, even as it powerfully and quickly interacts with disparate data sources and structures. On top of all of that, you need to rely on this data platform to bring you data that is accurate and high quality.

Read this case study to see how Qubole helped Neustar deal with their “Vs” while keeping operating costs low.

Vendor:

Qubole

Posted:

Feb 8, 2021

Published:

Mar 18, 2020

Format:

HTML

Type:

White Paper