WHITE PAPER:
Access this white paper to get an analysis of large data sets using three different tools that are part of the Hadoop ecosystem – MapReduce, Hive and Pig.
WHITE PAPER:
This brief resource profiles a storage and analysis approach that can help your organization meet the challenges of today's data-intensive business world and achieve a competitive edge. Read on to learn more.
EBOOK:
This expert handbook offers practical advice that will help your organization evaluate, plan, and manage a real-time business intelligence (BI) and analytics deployment.
WHITE PAPER:
The reference solution combines Dot Hill storage solutions, Intel Enterprise Edition for Lustre, and Mellanox Infiniband to deliver a highly scalable and high performance infrastructure for oil exploration computing platforms, as well as other HPC applications.
VIRTUAL ENVIRONMENT:
This on-demand webcast takes an inside look at big data and Hadoop adoption, and offers key recommendations to help you find Hadoop analytics success.
WEBCAST:
Mainframes generate and process huge data volumes, but the costs and challenges of mainframe computing often leave this data untapped. This webcast explains how Hadoop can help you conquer the costs and challenges of big data and gain key business insights.
WHITE PAPER:
Consult this white paper to discover 5 important questions to consider when choosing a Web data extraction solution. Also discover various vendors how they compare to each other.
WHITE PAPER:
The following white paper addresses the challenges with expansion and how to overcome them. Discover cost-effective ways to choose from turn-key deployment and keep pace with the rapid growth of user data.
WHITE PAPER:
Access the following, extensive white paper to find out if your current BI and analytics solution is mismatched. Figure out what process may be affected as a result, and what you can do to make sure that your BI and analytics solution is right for you.
WHITE PAPER:
This brief resource examines how many industries, like the video gaming industry, can use big data analytics to capture and analyze customer behavioral data in order to respond to customer demands and deliver better experiences.
