Big Data Analytics

Big Data Intelligence Begins with Intel

  • Forrester: trust issues can erode confidence in big data

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Big Data Go-To Resources

Peer Research: Big Data Analysis

Big Data Analysis

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 >

Intel Planning Guide for Apache Hadoop*

Getting Started with Big Data: Planning Guide

Getting started with Apache 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 >

Read how to leverage cloud for big data

Converging Technologies: Big Data and Cloud

Learn how cloud and big data tech create a competitive advantage in a cost-effective delivery model, and steps to begin an initiative.

Read how to leverage cloud for big data >

Intel® IT: Big Data Mining

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 Apache Hadoop* Deployments

Optimizing Apache 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

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 >

Intel® Distribution for Apache Hadoop* Software

Intel® Distribution for Apache Hadoop* Software

Intel® Distribution includes Apache Hadoop* and other software components optimized by Intel with hardware-enhanced performance and security capabilities. The Intel Distribution resource site features community software edition download, testimonial videos, case studies, technical docs, training, tutorials, and more.

Note: Intel Distribution is available worldwide today for free evaluation. Technical support is provided currently in the US, China, and Singapore, with other geographies expected later in the year.

Visit hadoop.intel.com >
Intel® Distribution for Apache Hadoop* Software Resources

Case study from Next Bio demonstrates how to scale genomic data processing with 90% performance and 6X compression improvement.

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Intel® Distribution for Apache Hadoop* Software Resources

Pecan Street Inc. is a nonprofit consortium of universities, technology companies, and utility providers collaborating on smart grid technologies. Video describes use case and experience with the Intel® Distribution.

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Intel® Distribution for Apache Hadoop* Software Resources

The Intel® Distribution for Apache Hadoop* Software product brief describes core capabilities, tech specs, and value-added hardware and software optimizations.

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Intel® Distribution for Apache Hadoop* Software Resources

The Intel® Manager for Apache Hadoop*Software product brief delves into value-added management console core capabilities; tech specs; and packaged software optimizations, such as Intel® Active Tuner for Apache Hadoop* software and Intel® Graph Builder for Apache Hadoop* software.

View asset and all Intel® Distribution resources >
Intel® Distribution for Apache Hadoop* Software Resources

This solution brief describes how the Intel® Distribution uses Intel® AES-NI, which reduces the burden of encryption by up to 19X. This important data protection capability is delivered without sacrificing performance.

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The Big Data Wave Animation

Intel combined its knowledge of high performance computing, the cloud, and open source to create the Intel® Distribution for Apache Hadoop* Software. It’s engineered from the silicon up to help you get the most out of your hardware for big data analytics.

Watch the animation >

Big Data Solution Spotlights

IBM Solution Spotlight

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.

Find out how IBM big data solutions can help you build a smarter organization >

HP Solution Spotlight

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 big data solutions can help you get return on your big data investment >

Oracle Solution Spotlight

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 the end-to-end approach for Oracle big data analytics >

Cloudera Solution Spotlight

Big Data Vendor Spotlight: Cloudera Hadoop

Omer Trajman talks about how Cloudera is making major contributions to Apache* open-source projects, Cloudera’s own Hadoop* distribution, and how these efforts are helping organizations profit from all their data.

Learn about how Cloudera is contributing to open-source big data solutions >

All Spotlights

Big Data Companies: Vendor Spotlights

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

  • Big Data and Cloud at the Intersection

    Apr 29, 2013

    Big data and new cloud architectures are revolutionizing every industry. “At The Intersection” explores the cutting edge of these new technologies.

    Read More >

  • Speed Big Data Analysis with SoftNet’s Solutions

    Mar 20, 2013

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

    Read More >

  • Big Data: Energy Management

    Pecan Street uses data-driven analytics to empower consumers

    Feb 11, 2013

    Pecan Street uses data-intensive analytics to empower consumer energy management, collecting data using a device-to-cloud architecture.

    Read More >

  • Big Data Genomics Driving Better Patient Care

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

    Feb 11, 2013

    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 >

  • Clemson Balances Big-Data Vision and Small-Budget Reality

    Oct 28, 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 >
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    Chip Chats: Big Data

    Listen to More Chip Chats >
    Chip Chat: Database Appliance

    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 >
    Chip Chat: Big Data Analytics

    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 >
    Chip Chat: Database Performance

    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 >
    Chip Chat: Big Data in the Real World

    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 >
    Chip Chat: De-mystifying Big Data

    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 >
    Chip Chat: In Memory Big Data

    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 >

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