More Options than MapReduce Programme

From a very long time companies are working hard to manage enormous amount of data. A need has been there in the market that can store process and manage this vast amount of data. As Hadoop is an open source technology and being adopted by most of the top companies of the world gain lot of popularity in both Indian IT market and global IT market.

For a very long time the backbone of programming in most of the Hadoop operations was MapReduce. MapReduce is based on java and even a simplest of operations in MapReduce demand highly skilled java professionals. As there are lot of Hadoop Institutes in Delhi offering Hadoop Training in Delhibut the success of this training depend upon the knowledge of java, so most of the professionals after joining this course find it extremely difficult to learn Hadoop because of their limited knowledge in java. Companies too face the problems of hiring a candidate who has a mastery on both java and Hadoop.

Companies are working hard in finding the alternative of MapReduce. In recent time Pig, Hive and Spark gain enough popularity in the market and companies are also adopting these new frameworks of Hadoop.

PIG was first developed by a team in Yahoo. Later Yahoo sold it to Apache Company. Many of the operations in PIG look similar to SQL, sorting, loading, group, join etc. PIG is now an important framework of Hadoop and most of the Hadoop Institute in Noida, Gurgaon and Delhi are giving lot of focus on these frameworks.

Another important framework is Hive, Which looks like SQL. It requires very limited coding and thus useful for teams with limited java resources. Hive was originally developed by Facebook. Most of the companies are adopting this technology to manage their data. Madrid Software Trainings in association with industry experts provides complete practical training on Hive and other frameworks of Hadoop.

The most widely use framework which gain a lot of momentum in just couple of months is Spark, Which is a complete replacement of MapReduce. Spark was developed by AMPLab at the University of California. Earlier PIG and Hive were merely the programming interfaces for the execution framework. Spark replaces the entire execution framework of MapReduce.

In the recent times PIG, Hive and Spark emerges as the programming alternatives to MapReduce. But each of these frameworks have their own pros and cons. All of these frameworks are easier to manage as compared to MapReduce. In order to get a job in Hadoop one should have sound knowledge of all of these frameworks as there are lot of companies which still prefers to work on MapReduce. provides complete practical hadoop training in Gurgaon under the guidance of industry experts.

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