Applied Storage Technologies for Performance Optimized Big Analytics

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Author(s)/Presenter(s):

Hubbert Smith

Library Content Type

Presentation

Library Release Date

Focus Areas

Abstract

Big Analytics is quickly evolving away from batch toward real-time to address high value and time sensitive analytics problems. This is reviews the intersection of big data and applied storage technologies and systems.

Learning Objectives

Understand Big Data storage workload
Understand the storage workload to ingest data
Understand the storage workload to query and extract value from the data
Review benchmark data, and the underlying "why"