Google introduced the MapReduce algorithm to perform massively parallel processing of very large data sets using clusters of commodity hardware. MapReduce is a core Google technology and key to ...

Turning an entire paradigm on its head, an international group of researchers has figured out how to implement cloud computing’s most widely-used algorithm, one that’s usually deployed in giant, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Leann Chen explains how knowledge graphs ...

Finding frequent itemsets is one of the most important fields of data mining. Apriori algorithm is the most established algorithm for finding frequent itemsets from a transactional dataset; however, ...

As the undisputed pioneer of big data, Google established most of the key technologies underlying Hadoop and many of the NoSQL databases. The Google File System (GFS) allowed clusters of commodity ...

Back in 2013, Google announced its plans to not sue anybody who had implemented open-source versions of its MapReduce algorithm. Since then, the company has expanded what it calls its “Open Patent Non ...

The Hadoop community recently promoted YARN-- the next-gen Hadoop data processing framework -- to the status of "sub-project" of the Apache Hadoop Top Level Project. The promotion puts YARN on the ...

Take a look at the Apache Software Foundation's (ASF's) list of projects and you may feel overwhelmed. Between top-level and incubating projects, there are far too many to keep track of. Filtering ...