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IDC's Worldwide Storage for Big Data and Business Analytics Taxonomy, 2016

IDC's Worldwide Storage for Big Data and Business Analytics Taxonomy, 2016This IDC study examines the storage component of the Big Data and business analytics infrastructure market. This study describes IDC's definition of Big Data and business analytics, the criteria and methodology for the storage components that support most such deployments. IDC expects storage to dominate the Big Data and business analytics infrastructure stack. This is because as more businesses deploy such environments, they will identify newer data sets to analyze and retain more data in their infrastructure."The Big Data and business analytics markets are fusing together thanks to continued expansionary forces in the amount of data generated that compel businesses to quickly analyze relevant data," said Ashish Nadkarni, research director at IDC. "To gain valuable insight from this data, businesses need a storage infrastructure that offers consistent but lower and measurable dollar-per-IOPS, dollar-per-transaction, and dollar-per-gigabyte costs."


IDC Opinion
In This Study
Situation Overview
IDC's Business Analytics Definition and Market Taxonomy
IDC's Big Data Definition and Market Taxonomy
Infrastructure for Big Data and Business Analytics
Integrated Infrastructure
Converged Infrastructure and Platforms Definition
Integrated Platform Systems
Integrated Infrastructure Systems
Hyperconverged Systems
Storage Segmentation
Enterprise Disk Storage Systems
Internal DSS (Distributed Storage Architecture)
External DSS (Centralized Storage Architecture)
Storage Software
Variants and Combinations of Enterprise Storage Systems
Scale-Up/Scale-Out File- and Object-Based Storage
Scale-Up Solutions
Scale-Out Solutions
Future Outlook
Essential Guidance
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Related Research
Synopsis

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