To many, Big Data goes hand-in-hand with Hadoop + MapReduce. But MPP (Massively Parallel Processing) and data warehouse appliances are Big Data technologies too. The MapReduce and MPP worlds have ...

MapReduce is the distributed data processing and querying engine to extract data from big datasets hosted on compute clusters in any typical Hadoop implementation.

Big Data doesn't always involve Hadoop and MapReduce. This is a point I have made before, and I probably won't shut up about it anytime soon. Hadoop is good for a lot, but it has a batch-oriented ...

At the AWS Gov 2011 summit, general manager for Amazon Web Services' Elastic Map Reduce offering, Peter Sirota provided some prime use cases for its hosted Hadoop service and highlighted innovative ...

Even though Google doesn’t use it anymore, MapReduce now forms part of Apache Hadoop, which is an open source big data framework that sees tremendous usage in the real world by many companies ...

Big Data Defined If you search for the definition of big you’ll come across a varied list [...] Whether you’re involved in the business or tech industries, you’ve probably heard a lot of ...

Technology Editor Bill Wong examines how Hadoop and other big data platforms are being integrated into mainline database and development environments. It is not hard to see the interest in “big ...

Aster Data is providing customers with more than 1,000 new MapReduce-ready features designed to increase the adoption of MapReduce by enterprises dealing with big data applications.

Spark running on Hadoop sorted 100 TB of data in 23 minutes, three times faster than the previous record held by Yahoo using MapReduce on Hadoop. The result, Databricks says, are due to targeted ...