compiles the best information about MapReduce, the software framework popularized by Google to support distributed computing on large data sets on clusters of computers.

You will find information from data management thought leaders, open source projects that use MapReduce (e.g. Hadoop and others) and commercial data warehouse vendors, as well as organizations using MapReduce to solve challenging business analytics problems.

SQL-MapReduce® for Advanced Analytics

By Rick F. van der Lans, R20 Consultancy

From the early days of decision support systems to the present world of data warehousing, business intelligence, and analytics, the need for analytical capabilities has increased. In the beginning, users were satisfied with relatively straightforward reports, but today they demand advanced online analytical capabilities, such as forecasting, predictive modeling, and clustering.

In addition, data latency has become a more critical issue. It used to be acceptable for users to access week- and sometimes month-old data, compared to today, when users want to analyze data no older than a few seconds. In the past, we could keep our data warehouse relatively small by storing only aggregated data...

What is MapReduce?

MapReduce is a programming framework popularized by Google and used to simplify data processing across massive data sets...

Why MapReduce? Why now?

There are several benefits of MapReduce over conventional data processing techniques...

How Does MapReduce Fit into My Organization and Advanced Analytics?

MapReduce can be used in a variety of ways to bring efficiency into the ways you are processing data within your organization...

Get Savvy

  • Whitepaper

    MapReduce: Simplified Data Processing on Large Clusters

    View Whitepaper

  • Webcast

    Big Data Reality: The Role of MapReduce in Big Data Management and Analysis

    View Webcast

  • Video

    Cluster Computing and MapReduce Lecture 1

    View Video

  • Whitepaper

    SQL-MapReduce: Deriving Deep Insights from Large Datasets

    View Whitepaper

  • Book

    Data-Intensive Text Processing with MapReduce

    View Book

News & Events

  • 3-November-2011

    Webcast - "How a Retail Giant is Making Big Gains with Big Data Analytics" with Barnes & Noble
    (DBTA, Aster Data, Tableau Software)


  • 27-October-2011

    Webcast - "MapReduce for the Business Analyst: Simplifying Big Data Analytics for the Business" with Philip Russom


  • 25-October-2011

    Analysts see room for growth on
    Hadoop, other 'big data' technologies

    Read Now

  • 22-September-2011

    Teradata Provides the Simplest Way to Bring the Science of Data to the
    Art of Business
    (Aster Data)

    Read Now

  • 7-September-2011

    Making Sense of Large and Growing
    Data Volumes

    Read Now

Blog Posts

    • Aster Data

      The Simplest Way for Businesses to Analyze Big Data


      One of the great things about starting your own company (if you’re lucky and your company does well) is that you take part in the evolution of a whole new market, from its nascent days to its heyday...

    • Hadoop evolution


      I wanted to learn more about Hadoop and its futures, so I talked Friday with Arun Murthy of Hortonworks.* Most of what we talked...

    • Forthcoming Oracle appliances


      Oracle seems to have said on yesterday’s conference call Oracle OpenWorld (first week in October) will feature appliances based on Tangosol and Hadoop. As I post this, the Seeking Alpha transcript of Oracle’s call is riddled with...

    • Aster Data

      Multi-structured Data: Platform Capabilities Required for Big Data Analytics


      The “big data” world is a product of exploding applications. The number of applications that are generating data has just gone through the roof...