Big Data Go-To Resources
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 >
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 >
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 >
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
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 >
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.
Case study from Next Bio demonstrates how to scale genomic data processing with 90% performance and 6X compression improvement.View asset and all Intel® Distribution 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.View asset and all Intel® Distribution resources >
The Intel® Distribution for Apache Hadoop* Software product brief describes core capabilities, tech specs, and value-added hardware and software optimizations.View asset and all Intel® Distribution 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 >
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.View asset and all Intel® Distribution resources >
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 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.Find out how IBM big data solutions 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 big data solutions 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 the end-to-end approach for Oracle big data analytics >
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 >
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
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
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
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
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 DataListen 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.
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
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