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Guide to Supporting On-Premise Spark Deployments with a Cloud-Scale Data Platform

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By 2020, demand for Apache Spark is predicted to compound at an annual rate of 67%. But when technology grows this quickly, it can create significant backend IT challenges.

For Spark, this challenge comes in the shape of storage inefficiencies.

While it has traditionally been hosted in the public cloud or run on DAS systems, the following white paper examines alternative approaches that better capitalize on Spark’s capabilities.

Read on to explore a new scale-out all-flash storage system that can deliver previously unattainable levels of performance and efficiency for Spark. 

Vendor:
Pure Storage
Posted:
17 Apr 2019
Published:
31 Dec 2017
Format:
PDF
Length:
5 Page(s)
Type:
White Paper
Language:
English

This resource is no longer available.