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Hadoop PIG

admin — Fri, 11 May 2012 17:18:40 +0000

Hadoop PIG PIG is a type of a query language and it permits users to query Hadoop data similar to a SQL database. PIG is also a platform for examine huge data sets that contains high level language for expressing …

MapReduce

admin — Fri, 11 May 2012 17:06:23 +0000

MapReduce Hadoop MapReduce includes many computers but little communication stragglers and failures. In functional programming concepts MapReduce programs are designed to evaluate bulk volume of data in a parallel fashion. In this concept needs to divides the work across a …

Extension Points

admin — Tue, 08 May 2012 16:27:07 +0000

What are Extension Points? Extension points are nothing but dependent functionality basically from libraries and jars that are used by the plug-in. The details of these libraries and jars are normally in the plug-in.xml file. This file is placed in …

Applications on Eclipse

admin — Tue, 08 May 2012 15:50:47 +0000

Applications on Eclipse Explaining about applications built using Eclipse RCP Eclipse is one of the most popular IDE in the open source world that is used widely for developing and building applications related to Java, JEE. The version 3 of …

Hadoop – Advantages and Disadvantages

admin — Sat, 05 May 2012 06:27:16 +0000

Advantages and Disadvantages of Hadoop Map-Reduce and HDFS are the two different parts of the Hadoop. Advantages 1) Distribute data and computation.The computation local to data prevents the network overload. 2) Tasks are independent The task are independent so, We can …

Hadoop Distributed File System (HDFS)

admin — Sat, 05 May 2012 06:15:31 +0000

Hadoop Distributed File System (HDFS) Hadoop is a distributed file system and it uses to store bulk amounts of data like terabytes or even petabytes. HDFS support high throughput mechanism for accessing this large amount information. In HDFS files are …

Hadoop Basics

admin — Sat, 05 May 2012 05:57:41 +0000

Hadoop Basics Hadoop is an open source project and it is used for processing large datasets in parallel with the use of low level commodity machines. Hadoop consists of two main parts. Distributed File System (HDFS):- It is an optimized …

JMS APIs in J2EE world

admin — Wed, 25 Apr 2012 16:03:55 +0000

JMS APIs in J2EE world We are using the following steps for developing a J2EE application to use the JMS API directly for asynchronous messaging. We will list all the common APIs that are predominately used in JMS. 1) Import …

Developing Robust JMS Applications

admin — Tue, 24 Apr 2012 16:52:07 +0000

Developing Robust JMS Applications The JMS API allows two different ways to achieve various kinds and degrees of reliability. They are, Using Basic Reliability Mechanism Using Advanced Reliability Mechanism. Using Basic Reliability Mechanism. The below mechanisms are used for extracting …

Simple JMS Client Application

admin — Mon, 23 Apr 2012 17:39:19 +0000

Simple JMS Client Applications The JMS client applications are simple and standalone programs that run outside the server as class files. For the JMS application client ,let’s create three different basic tasks. They are, Creating connection and a session Creating …