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Tagged AsBig Data, Intel® Xeon® Processor E5 Family, IT Managers
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Intel Vision Paper: Big Data
Learn about Intel's perspective on
big data at the edge >
Big Thinkers on Big Data
Watch the new interview with Forrester Principal Analyst Mike Gualtieri >

Big Data Webcast
Put big data to work
for your company >
How Big is Big Data?
Check out the Intel Big Data Dashboard >

Intel Big Data

Big Data Go-To Resources

Big Data Analytics

The results of a survey of 200 IT managers provide insights into how organizations are using big data analytics today, including what organizations need to move forward and what the research means for the IT industry.

Read about big data analysis peer research >

Getting Started with Big Data: Planning Guide

Getting started with Hadoop for your big data analytics projects can be intimidating. This practical guide for IT managers can help you plan and implement big data analytics projects.

Read about getting started with big data >

Big Data in the Cloud: Converging Technologies

Solution Brief: Learn how cloud and big data technologies are converging to create a competitive advantage in a cost-effective delivery model, and practical next steps to begin a cloud-based big data analytics initiative.

Read how to leverage cloud for big data >

Big Data Mining

The ability to mine and analyze big data gives organizations deeper and richer insights into business patterns and trends, helping drive operational efficiencies and competitive advantage in manufacturing, security, marketing, and IT.

Learn about mining big data in the enterprise >

Optimizing Hadoop* Deployments

White Paper: Optimize Apache Hadoop* deployments by improving cluster performance and resource utilization while minimizing operation costs.

Read the white paper on optimizing Apache Hadoop deployments >

Apache Hadoop* Framework Spotlights

Open-source community experts explain how four key elements of the Apache Hadoop framework work together to help organizations harness the power of big data analytics and where software development is headed.

Learn about the Apache Hadoop framework >

Big Data Analytics Solutions

Big Data Vendor Spotlight: IBM

Bruce D. Weed talks about the key components of the IBM* big data platform—including the Intel® Xeon® processor E5 family. You’ll see how the company is using these solutions to help its customers build a smarter planet.

Discover how IBM can help you build a smarter organization >

Big Data Vendor Spotlight: HP

Irshad Raihan explains how HP* solutions for big data, built on the Intel® Xeon® processor family, deliver value quickly and cost-effectively to companies analyzing both structured and unstructured data.

Learn how HP can help you get return on your big data investment >

Big Data Vendor Spotlight: Oracle

Kimberly Billings and Manan Goel from Oracle explain how Oracle* big data solutions deliver a uniquely integrated, end-to-end approach to big data acquisition and analysis. See how Oracle’s technologies help you acquire, organize, analyze your data.

Understand Oracle’s end-to-end approach to big data analytics >

Big Data Vendors

Vendor spotlights on big data companies. Leading vendors describe their enterprise offerings for big data analytics.

See all big data companies >

Big Data Examples: Getting It Done

Clemson Balances Big-Data Vision and Small-Budget Reality

Jul 24, 2012

Clemson’s IT leaders discuss how they’re evolving their clusters to clouds and preparing for an era of big data analytics.
Read More >
Genomic Sequencing Data

The University of North Carolina at Chapel Hill is using big data to find better treatments for patients through genomic sequencing technologies

Jul 25, 2012

University of North Carolina at Chapel Hill (UNC) analyzed big data from thousands of individual genomes to improve patient care and support research.
Read More >
Energy Management

Pecan Street uses data-driven analytics to empower consumers

Aug 28, 2012

Pecan Street uses data-intensive analytics to empower consumer energy management, collecting data using a device-to-cloud architecture.
Read More >
Speed Big Data Analysis with SoftNet’s Solution

Aug 28, 2012

Solution Brief: SoftNet Solutions implements an Intel®-based Apache Hadoop* platform for real-time physical and virtual environment big data analysis.
Read More >

Next Next

Chip Chats: Big Data

Listen to More Chip Chats >

Oracle Exadata Database Machine
Allyson chats with Tim Shetler, VP of Exadata Product Management from Oracle, about the Oracle Exadata Database Machine and its use in mission critical computing.

Listen to Intel® Chip Chat episode 167 >

Oracle Exalytics In-Memory Machine
Marie-Anne Neimat, VP of Development for Embedded Databases, discusses the Oracle Exalytics real-time analytics product embedded into the hardware appliance and appropriate applications for deployment.

Listen to Intel® Chip Chat episode 168 >

Database Performance on Intel® Xeon® Processor-based Platforms
Steve Shaw, Database Technology Manager at Intel, chats about database performance testing and engineering an Intel® Xeon® processor based system as a whole for optimal performance and scalability.

Listen to Intel® Chip Chat episode 170 >

Real-world Uses for Big Data
Pauline Nist, GM of mission critical computing, talks about big data appliances, the Oracle Exalytics product for in-memory database, and real-world uses for analytics and mission-critical computing.

Listen to Intel® Chip Chat episode 172 >

De-Mystification of Big Data
Mitch Shults, a mission-critical strategist, discusses the difference in structured databases vs. unstructured, delivering performance while managing latency, federated clouds, and in-memory databases.

Listen to Intel® Chip Chat episode 171 >

In-Memory Database Processing with SAP HANA
Jeff Word, a VP at SAP, stops by to talk about SAP HANA, the first enterprise-scale completely native in-memory database. Keeping the database in RAM means that business data (point of sale, as well as Web 2.0) can be processed in parallel at real-time speeds

Listen to Intel® Chip Chat episode 193 >