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SAS WP Big Data Meets Big Data Analytics文档
Big Data Meets Big Data Analytics
Three Key Technologies for Extracting Real-Time Business Value from the Big Data
That Threatens to Overwhelm Traditional Computing Architectures
WHITE PAPER
SAS White Paper
Table of Contents
Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
What Is Big Data? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
Rethinking Data Management . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .3
From Standalone Disciplines to Integrated Processes . . . . . . . . . . . . . 3
From Sample Subsets to Full Relevance . . . . . . . . . . . . . . . . . . . . . . . . 4
Three Key Technologies for Extracting Business Value
from Big Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
Information Management for Big Data . . . . . . . . . . . . . . . . . . . . . . . . . . 5
High-Performance Analytics for Big Data . . . . . . . . . . . . . . . . . . . . . . . 6
Flexible Deployment Options for Big Data . . . . . . . . . . . . . . . . . . . . . . . 8
SAS Differentiators at a Glance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
Big Data and Big Data Analytics – Not Just for Large Organizations . . 9
It Is Not Just About Building Bigger Databases . . . . . . . . . . . . . . . . . .
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