Learn how to read the video stream you set up in the first part of this tutorial and accept it at the remote location.
Learn more about the best ways to access a relational database using the JDBC template in Spring.
Learn more about the concepts of Gradle as a project building tool and also see how to configure and build a sample Java project.
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.
This tutorial provides a simple explanation of the three different installation modes and the reasons for the use of each mode.
Follow this simple six step process to create a MapReduce job in Apache Hadoop using Spring.
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.
Learn more about Java Caching System (JCS) framework with descriptions and working examples.
Learn more about writing MapReduce programs with the language of your choice with Hadoop Streaming.
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.
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.
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.
Kaushik Pal provides some samples and tips on how to use Apache Pig for efficient analysis of large data sets.
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.
Kaushik Pal explores the basics of the Hadoop Distributed File System (HDFS), the underlying file system of the Apache Hadoop framework.
Kaushik Pal explores the processing of Big Data using the Apache Hadoop framework and Map-Reduce programming.
Learn more about how Ant, in collaboration with JUnit, helps developers to follow the test-driven development approach.
If you are a developer or a designer, it is very likely that you will work in a team comprised of different people with different habits, motivation, work and coding styles. This article will provide a few simple tips that will make working in teams more efficient and productive.
Exposure on social media sites such as Facebook, Twitter and LinkedIn has a tremendous impact on business, effecting marketing, networking, analytics and more. Social media is a natural resource for collecting user feedback, comments, suggestions, etc., making the integration of social media with applications increasingly important. This article will discuss the integration of Facebook and Twitter with a Java application.
U.K.-based Contemplate announced the public availability of ThreadSafe, its static analysis tool for Java concurrency.