Hadoop 2.0 makes MapReduce less compulsory and the distributed file system more reliable.

Hadoop in a post-MapReduce world Those familiar with MapReduce will wonder how Tez is different. Tez is a broader, more powerful framework that maintains MapReduce’s strengths while overcoming ...

Big data analytic software vendors who run on Hadoop are increasingly replacing their MapReduce engines with Apache Spark and other in-memory analytic engines as the runtime of choice. Many of these ...

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 ...

Google's MapReduce patent raises some troubling questions for software like Hadoop, but it looks unlikely that Google will assert the patent in the near future; Google itself uses Hadoop for its ...