Articles published in 2010
Storage and massive processing with Hadoop
Categories: Big Data | Tags: Nutch, Google, Hadoop, HDFS, Cloudera, Storage
Apache Hadoop is a system for building shared storage and processing infrastructures for large volumes of data (multiple terabytes or petabytes). Hadoop clusters are used by a wide range of projects…
By David WORMS
Nov 26, 2010
Hadoop and HBase installation on OSX in pseudo-distributed mode
Categories: Big Data, Learning | Tags: Hue, Infrastructure, Hadoop, HBase, Big Data, Deployment, Log4j
The operating system chosen is OSX but the procedure is not so different for any Unix environment because most of the software is downloaded from the Internet, uncompressed and set manually. Only a…
By David WORMS
Dec 1, 2010
Node HBase, a NodeJs client for Apache HBase
Categories: Big Data, Node.js | Tags: HBase, Big Data, Node.js, REST
HBase is a “column familly” database from the Hadoop ecosystem built on the model of Google BigTable. HBase can accommodate very large volumes of data (tera or peta) while maintaining high…
By David WORMS
Nov 1, 2010
MapReduce introduction
Categories: Big Data | Tags: Java, MapReduce, Big Data, JavaScript, TCO
Information systems have more and more data to store and process. Companies like Google, Facebook, Twitter and many others store astronomical amounts of information from their customers and must be…
By David WORMS
Jun 26, 2010
Node.js, JavaScript on the server side
Categories: Front End, Node.js | Tags: HTTP, MongoDB, Server, JavaScript, Node.js, Python, Redis
Waiting for the Next Big Language (NBL for Next Big Language), this is now 3 years or more since I predict to my customers a bright future for JavaScript as a programming language for server…
By David WORMS
Jun 12, 2010
