Taking the present trending Courses in the world, Hadoop is the trending one where you can have the interesting topics. Access to an ordinary relational database relies on queries in one of the many dialects of SQL (Structured Query Language). If anyone need to access non-relational databases, other languages besides SQL are possible (the term NoSQL). does not fall into these two categories, because it simply does not use a database; it is this distinction that lends Hadoop its flexibility and robustness. Hadoop contains of two basic components: the Hadoop Distributed File System (HDFS) and a distributed modularized data processing framework.
Hadoop uses Map Reduce 1.x whereas Hadoop 2.x relies on either Map Reduce or its successor YARN (discussed later). The work of HDFS is to provide the most efficient & fastest possible fail-safe storage of the data. HDFS is not a "clusterized" file system but a distributed one: It runs on multiple nodes in a network – but without an expensive SAN solution. HDFS is therefore very cost efficient.
The data processing framework talks to the file system, which manages the resources and monitors the execution of the commands sent by a Hadoop-compatible application on the framework. These commands form jobs, and jobs are implemented as individual, tiny Java applications.
Manyof them were pleased with this architecture, workloads can be spread acrossmultiple nodes of a computer cluster, and the cluster itself can bereconfigured even while performing jobs. This approach results in severalimportant advantages. For example, Hadoop scores points with its ability toscale as needed, without downtime. We give This Type of Training with LiveProject Scenario. is very much Demandable Trying institute in the school.
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