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Big Data Go-To Resources

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Big Data Go-To Resources

 The 360 view of Big Data Analytics for business

Analytics for Business

Look at the many aspects you need for Big Data Analytics in your business including; specialized approaches based on data types, the four Vs. of analytics, volume, velocity of growth, variety of data, and value, and sequel or no sequel data solutions

Be aware of Big Data approaches needed to analyse your business >

 Intel Planning Guide for Apache Hadoop*

Getting Started with Hadoop*: 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 Apache Hadoop >

 Strategies for Big Data

Strategies for Big Data

Big Data can be used to identify new solutions, new products and new approaches for strategic, operational and competitive advantage

Discover if you see the big solution potential in Big Data >

 Scale-out Storage

Scale-out Storage

Brian Cox, senior director of product marketing for EMC Isilon Storage Division, describes how scale-out storage for big data is the simple, smart way to turn information into opportunity

Find out new developments in big data storage and analytics >

 Optimizing Apache Hadoop* Deployments

Optimizing Hadoop* Deployments

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

Read the white paper on optimizing Apache Hadoop deployments >

 Big Data Technologies

Infographic: Big Data Technologies

Upgrade to Intel® Xeon® processor E5 family, Intel® SSD 520 series, Intel® Ethernet 10 Gigabit Converged Network Adapter, and Intel® Distribution for Apache Hadoop* software to reduce job time and deliver big data analytics at maximum velocity.

View the infographic >

Big Data Vendor Spotlights

 IBM Vendor 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.

Discover how IBM can help you build a smarter organization >

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

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

 Cloudera Vendor Spotlight

Big Data Vendor Spotlight: Cloudera

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 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

  • Boost Big Data Efforts

    Successful Big Data management relies on a boost to data processing capabilities supported by the right infrastructure

    Read More >
  • Big Data and Cloud at the Intersection

    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 Solution

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

    Read More >
  • Energy Management

    Pecan Street uses data-driven analytics to empower consumers

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

    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

    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

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

    Read More >

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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