Data Management Made Easy With Hadoop Training

Data Management Made Easy With Hadoop Training The term Hadoop and Big data are intertwined. Before we get into details, we need to understand what Hadoop is as we know that big data helps to systematically extract large scale information. Hadoop refers to the framework which helps to store Big Data in a distributed manner so that it can be processed parallelly. A number of Hadoop Training Institute In Bangalore will teach you the different aspects of Hadoop. Once you opt for this course, you will be able to acquire remarkable skill in this field.

Different Components Of Hadoop

When you go for Hadoop Training in Bangalore, you will learn that there are three main components of Hadoop. They are as follows:

1. HDFS: HDFS or the Hadoop Distributed File System is a computing system that is cost-effective, scalable, and reliable. With the help of the HDFS system, one can store file data with great ease and later use it without going through the hassle of reformatting it. The cluster is designed in such a way that it can automatically replicate multiple copies of the given data throughout the cluster. However, this amount of replication is subject to alteration.

2. Hadoop MapReduce: Hadoop MapReduce is a programming model that helps in the storage of data on a large scale. Hadoop also facilitates the distributed processing of these data. MapReduce makes the process easier by breaking the input file into smaller pieces. Each of these pieces is processed independently and then collected and processed as a whole. If any individual file is larger than expected, it can further be broken into "Hadoop splits."

3. Hadoop YARN: The primary concept of Hadoop YARN is that it is designed so that it can split up the functionalities of job monitoring or scheduling and resource management into different daemons. There are web UIs that monitor the Hadoop cluster.

Benefits Of Using Hadoop Using Hadoop has its benefits. For instance, Hadoop can easily detect any threat of cyber-attack and help to prevent it. The crime investigation departments use these

Big data tools to catch criminals. Hadoop helps to extract large volumes of meaningful information.

E-commerce companies use Hadoop to understand their customer requirements.

Some companies, like financial and telecom companies as well as social media, incorporate the use of big data and Hadoop for analyzing large scale data. The companies then use the data, thus collected and post advertisements on different social media sites. This makes it easier for them to reach their target customer.

The application of Hadoop is multidimensional. Astonishingly, Hadoop can also be used in the development of cities, states, and the country as a whole. With the help of Hadoop, data statistics such as traffic jams can be analyzed and controlled easily. This, in turn, can help to improve the transportation system of the city.

Therefore, one cannot deny that Hadoop can prove to be a game-changer in the long run. It is one of the most innovative introductions in the field of data analysis and management.

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