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The number of ways in which data is affecting how businesses are being run is always growing—and if you intend to take advantage of some of these data technologies, like machine learning, then you’ll need to support huge data stores with a capable repository that won’t limit your analytics potential.

Read this white paper to learn how 2 engineers at Google found a way to bring its gigantic indexing needs down to reasonable processing requirements through a radically new type of algorithm running on massively parallel clusters.

Vendor:

Hitachi Vantara

Posted:

Feb 8, 2021

Published:

Nov 20, 2019

Format:

PDF

Type:

White Paper