Scientists and mathematicians have long loved Python as a vehicle for working with data and automation. Python has not lacked for libraries such as Hadoopy or Pydoop to work with Hadoop, but those ...

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 ...

Interest in Apache Spark surpassed Apache Hadoop for the first time last month, according to Google Trends. While it’s not a definitive statement of Spark’s actual impact on big data processing in the ...

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 ...