March 5, 2015
Explore how to best break down a project's objectives into smaller and more manageable tasks to be assigned to various team members.
February 27, 2015
The fourth article in our series will explore time analysis, which is critical for any project. Learn more about the two best methods for project time analysis: PERT and CPM.
February 20, 2015
Learn more about Scala, a programming language that supports both object-oriented and functional paradigms.
January 28, 2015
Learn more about the process of project management and its goals and specific challenges.
December 23, 2014
As guardians of our own code quality, we're armed with two battle tactics: Be reactive, or be proactive. Read Chapter 1 of "Continuous Enterprise Development in Java".
October 28, 2014
Learn more about the different design patterns used in the MapReduce framework.
October 1, 2014
It’s hard to get a straight story out of Oracle about what they want to change – if they really want to change at all.
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.