Hadoop

Hadoop Quickstart: Create and Better Manage Hadoop Clusters on Rackspace

Sat, 18 Feb 2012 09:15:00 EST

We have previously provided a Quickstart guide to standing up Rackspace cloud servers (and have one for Amazon servers as well). These are very low cost ways of building reliable, production ready capabilities for enterprise use (commercial and government).

Apache Hadoop: Now, Next, and Beyond at Cloud Expo New York

Tue, 14 Feb 2012 08:00:00 EST

In 2011, Apache Hadoop received tremendous attention for helping organizations cost-effectively capitalize on their big data. Hadoop is now disrupting the business of analyzing data. In his session at the 10th International Cloud Expo, Eric Baldeschwieler, Co-Founder & CEO of Hortonworks, will look at the current state of the Hadoop project, lessons learned by deploying it at scale, and the roadmap for its future. Big Data Track attendees will learn about the exciting developments that have happened recently with the Apache Hadoop project, what is has already accomplished (including real-world examples), and what it is going to make possible in the future.

Fast Track To Hadoop

Sun, 07 Aug 2011 07:00:00 EDT

As a former enterprise CTO and current technology watcher, I was struck at the incredible brilliance of yesterday’s announcement by Dell and Cloudera. In a move that will help enterprises of all sizes serve a very wide range of missions, those two organizations have announced a new relationship that will enable something that has never really existed [...]

Background on Lucene, Nutch and Hadoop

Sun, 19 Dec 2010 05:45:00 EST

Lucene has quite a bit of fame in enterprise circles. It is a free/open source search software library first written in Java (but now ported to many other languages). Although lacking in the discovery capabilities of more advance information retrieval tools, it is very reliable, easy to code to, and has a growing developer community. Lucine is frequently the basic search capability found in large government IT projects. It provides full text indexing and search.

Accessing Hadoop DFS for Data Storage and Retrieval Using Java

Wed, 17 Mar 2010 10:00:00 EDT

Distributed File Systems (DFS) are a new type of file systems which provides some extra features over normal file systems and are used for storing and sharing files across wide area network and provide easy programmatic access. File Systems like HDFS from Hadoop and many others falls in the category of distributed file systems and has been widely used and are quite popular. This tutorial provides a step by step guide for accessing and using distributed file system for storing and retrieving data using java. Hadoop Distributed File System has been used for this tutorial because it is freely available, easy to setup and is one of the most popular and well known Distributed file system. The tutorial demonstrates how to access Hadoop distributed file system using java showing all the basic operations.

Cloud Computing Expo: Exclusive Q&A with Yahoo! SVP Cloud Computing

Sat, 03 Oct 2009 19:00:00 EDT

"Ultimately, we believe that advancement in cloud computing technology will be driven by open source initiatives where large communities of engineers can collaborate and develop new code for the new applications and demands posed by the cloud model," says Shelton Shugar, SVP Cloud Computing at Yahoo!, in this Exclusive Q&A with Jeremy Geelan in the run-up to the 4th International Cloud Computing Conference & Expo, being held November 2-4 at the Santa Clara Convention Center in Santa Clara, CA.