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Intel Big Data
Big Data Go-To Resources
- Big Data for Britain >
- Vision Paper >
- Apache Hadoop* Planning Guide >
- Peer Research Report >
- Peer Research Video >
Intel IT
- Advanced Analytics >
- Big Data Mining >
- Intel® IT Center >
Big Data Industry Content
- Automotive >
- Energy >
- Genomics >
- Higher Education >
- Life Sciences >
Big Data Go-To Resources
- Analytics for Business by Jim Henry
- Planning Guide: Apache Hadoop*
- Strategies for Big Data
- Scale-out Storage
- Optimizing Apache Hadoop* Deployments
- Big Data Technologies
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 >
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
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
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 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 >
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
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 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 >
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
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Boost Big Data Efforts
Feb 8, 2013
Successful Big Data management relies on a boost to data processing capabilities supported by the right infrastructure
Read More >
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Big Data and Cloud at the Intersection
Feb 8, 2013
Big data and new cloud architectures are revolutionizing every industry. “At The Intersection” explores the cutting edge of these new technologies.
Read More >
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Speed Big Data Analysis with SoftNet’s Solution
Sep 5, 2012
Solution Brief: SoftNet Solutions implements an Intel®-based Apache Hadoop* platform for real-time physical and virtual environment big data analysis.
Read More >
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Energy Management
Pecan Street uses data-driven analytics to empower consumers
Jul 12, 2012
Pecan Street uses data-intensive analytics to empower consumer energy management, collecting data using a device-to-cloud architecture.
Read More >
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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 12, 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 >
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Clemson Balances Big-Data Vision and Small-Budget Reality
Jul 12, 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 >
Videos
View More Videos-
The big Picture of Big...The world is now full of...
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Hadoop* Server Clusters...Shows how Hadoop*...
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Telecom Analytics Unlock...Learn how Guavus is...
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Big Data 101: How it...Introduces big data,...
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Intel CIO on Big DataHow Intel IT is...
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Intel Perspective on OOWGet a quick overview of...
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Oracle Big Data at OOW...Hear about Intel and...
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A Better Future:...As part of the Pecan...
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Mine Gold from Sentiment...Sentiment analysis on...
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Intel Big Data @ OOW ‘12Steve Shaw and Pauline...
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Big Data Research VideoKey findings from big...
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Hadoop* Webinar: Build...Arista and Intel...
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Apache HDFS* PodcastApache HDFS* overview.
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The Benefits of Big DataVirtual simulation is...
Chip Chats: Big Data
Listen to More Chip Chats >- Database Appliance
- Big Data Analytics
- Database Performance
- Big Data in the Real World
- De-mystifying Big Data
- In Memory Big Data
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.
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.
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.
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.
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.
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
Related Materials
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