Google and its MapReduce framework may rule the roost when it comes to massive-scale data processing, but there’s still plenty of that goodness to go around. This article gets you started with Hadoop, ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

The Apache Software Foundation unveiled its latest release of its open source data processing program, Hadoop 2. It runs multiple applications simultaneously to enable users to quickly and efficiently ...

Hadoop training courses and certification programs are available from companies including Cloudera, Hortonworks, IBM and MapR. But if you’re not ready to commit to formal training courses, there are ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Hadoop has been widely embraced for its ability to economically store and analyze large data sets. Using parallel computing techniques like MapReduce, Hadoop can reduce long computation times to hours ...

If you’re tired of using multiple technologies to accomplish various big data tasks, you may want to consider Apache Beam, a new distributed processing tool from Google that’s now incubating at the ...

Concurrent says Cascading 3.0 will support local in-memory, Apache MapReduce and Apache Tez out of the gate with support for Apache Spark and Apache Storm soon to follow. Organizations are ...

The USPTO awarded search giant Google a software method patent that covers the principle of distributed MapReduce, a strategy for parallel processing that is used by the search giant. If Google ...

The Apache Software Foundation unveiled its latest release of its open source data processing program, Hadoop 2. It runs multiple applications simultaneously to enable users to quickly and efficiently ...