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 ...

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 ...

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

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 ...

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 ...

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 ...

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 ...

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 ...

Guest post written by John Bantleman John Bantleman is CEO of RainStor, which sells database software used for big data projects. We’ve entered the age of Big Data where new business ...