Intel White Paper: Transforming Big Data into Big Value
Summary
Unlock massive business potential with advanced Big Data Analytics strategies. This guide details how organizations can transform vast amounts of data into significant competitive value using three critical usage models: Extract, Transform, Load (ETL), Interactive Queries, and Predictive Analytics. Learn how to build a flexible infrastructure for optimal performance and efficiency, supported by cutting-edge silicon, systems, and software innovations tailored for modern enterprise needs.
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White Paper Big Data Analytics
Turn Big Data into Big Value A Practical Strategy Ex ab yt es (B illi on of B)
ABSTRACT Some of today’s most successful companies achieve game-changing business advantages by capturing, analyzing, and acting upon vast amounts of diverse, fast-moving “big data.” This paper describes three usage models that can help you implement a flexible and efficient big data infrastructure to realize competitive advantages in your own business. It also describes Intel innovations in silicon, systems, and software that can help you to deploy these and other big data solutions with optimal performance, cost, and energy efficiency.
Abstract . The Big Data Opportunity The Big Data Opportunity .
Big data is often compared to a tsunami. Today’s five billion cell phone users and nearly
Extracting Business Value one billion Facebook* and Skype* users generate unprecedented volumes of data, and from Big Data .
they represent only part of the global online population. Intel estimates that more than
Usage Model 1—ETL Using
1,500 exabytes (EB) of data—1,500 billion gigabytes—flowed through the cloud in 2012.
Apache Hadoop* .
To put that in perspective, the total number of words spoken in all of human history is
Infrastructure Considerations .
estimated at about 5 EB.
Usage Model 2—Interactive Queries .
Nor have the flood waters of big data begun to level out. We are moving quickly toward
Infrastructure Considerations .
the “Internet of things,” in which vast numbers of networked sensors in businesses, homes,
Usage Model 3—Predictive Analytics
cars, and public places drive data generation to almost unimaginable levels (Figure 1). Yet
on the Hadoop Platform .
comparing big data with a tsunami misses the most important point.
Infrastructure Considerations . Creating a Better Foundation for Big Data Analytics .
40K Exponential Growth Through 2020
Processor Advances for Performance and Security . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Structured Data
New Tools and Optimized Software .
Semi/Unstructured Data Exponential Growth
Advanced Power Management for Lower Operating Costs . Conclusion .
Growth of 400%
Figure 1 . Current and forecasted growth of big data. Source: Philippe Botteri of Accel Partners, Feb. 2013.
Page Summary Contents For Intel White Paper: Transforming Big Data into Big Value
Manual Details
| Brand | Intel |
|---|---|
| Pages | 8 |
| File Size | 630.14 KB |
| Published | June 03, 2026 |
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Frequently Asked Questions
What are the three usage models for extracting value from big data?
ETL (Extract, Transform, and Load), Interactive Queries, and Predictive Analytics.
How can Intel technology help manage energy in a data center?
The Intel Data Center Manager provides advanced power and thermal management across various levels of infrastructure.
What is the benefit of using Apache Hadoop for big data processing?
It offers a cost-effective solution to process vast amounts of big data that can overwhelm traditional ETL tools.