September 20, 2014
Will anything really change at Oracle? Unlikely – at least not until Ellison finally kicks the bucket.
June 11, 2014
Learn more about Apache Spark and the various aspects of this framework.
June 5, 2014
Learn how to read the video stream you set up in the first part of this tutorial and accept it at the remote location.
May 21, 2014
Learn more about the best ways to access a relational database using the JDBC template in Spring.
May 15, 2014
Learn more about the concepts of Gradle as a project building tool and also see how to configure and build a sample Java project.
April 29, 2014
Learn how to configure the client machine (the one to which the camera is attached), to read the stream from your camera and make it accessible from a remote location via network or internet.
April 25, 2014
This tutorial provides a simple explanation of the three different installation modes and the reasons for the use of each mode.
April 16, 2014
Follow this simple six step process to create a MapReduce job in Apache Hadoop using Spring.
March 31, 2014
Explore the data movement through the MapReduce architecture and the API calls used to do the actual processing, along with customization techniques and function overriding for application specific needs.
March 27, 2014
Learn more about Java Caching System (JCS) framework with descriptions and working examples.
March 18, 2014
Learn more about writing MapReduce programs with the language of your choice with Hadoop Streaming.
February 14, 2014
Using ADF allows developers to minimize the coding effort to build an application's infrastructure and allows them to concentrate more on implementing the complex business logic of the application.
February 7, 2014
In modern application development, the framework plays an important role--without the support of a mature framework, rapid application development is quite impossible. Oracle has developed an innovative, mature and stable Java EE development framework called Oracle Application Development Framework. Learn more about it today.
January 29, 2014
Apache HBase is a distributed, non-relational and open source database written in Java that runs on top of HDFS. HBase is a suitable candidate when you have hundreds of millions or billions of rows and enough hardware to support it. Learn more about it's practical use and architectural concepts.
December 16, 2013
Kaushik Pal provides some samples and tips on how to use Apache Pig for efficient analysis of large data sets.
December 6, 2013
Integrate the JVM into the OS kernel. Strip out everything in the OS that the hypervisor is taking care of (like network access) or that the JVM doesn’t need. What you end up with is an lean mean runtime-specific machine that runs much faster than a normal VM, and is more secure as well, simply because there is much less of it to hack.
November 27, 2013
Kaushik Pal explores the basics of the Hadoop Distributed File System (HDFS), the underlying file system of the Apache Hadoop framework.
November 22, 2013
Kaushik Pal explores the processing of Big Data using the Apache Hadoop framework and Map-Reduce programming.
November 11, 2013
Learn more about how Ant, in collaboration with JUnit, helps developers to follow the test-driven development approach.