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Taming Hadoop: Storage Tiering for Big Data

Cover

While more data analyzed over longer time horizons can lead to breakthrough insights, keeping everything on traditional Hadoop clusters leads to massive server sprawl and high operating expenses.

For this reason, older data sets are often discarded or archived to tape, then reloaded later for analytics. But what ends up happening is most historical analytics tasks just take a few data sets from a few tapes, hoping that the analytics will be “good enough.”

This white paper examines how tiered storage helps organizations ingest, store, and analyze more data to glean deeper insights—at a realistic TCO. Keep reading for a comparison of tiered storage vs. traditional all-HDD symmetrical systems.

Vendor:
Western Digital
Posted:
28 Dec 2018
Published:
28 Dec 2018
Format:
PDF
Length:
5 Page(s)
Type:
White Paper
Language:
English

This resource is no longer available.