To crack an interview, it is must that your basic concepts about frameworks are pretty clear. On request of many of our students, we’ve put together a comprehensive list of questions to help you get through your Big Data – Hadoop interview. We’ve made sure that the most probable questions […]
Hadoop has undergone many changes in three different versions. Hadoop 3 combines the efforts of hundreds of contributors over the last six years since Hadoop 2 launched. In this tutorial, we will discuss the Comparison between Hadoop 2.x vs Hadoop 3.x. So, let’s first see comparison in tabular format: Hadoop […]
Hadoop is a framework used for handling Big Data. It uses HDFS as the distributed storage mechanism and MapReduce as the parallel processing paradigm for data residing in HDFS. The key components of Mapreduce are Mapper and Reducer. When a MapReduce Job runs on a large dataset, Mappers generate large […]
The document starts with the introduction to Hadoop and covers the Hadoop 1.x / 2.x services (HDFS / MapReduce / YARN). It also explains the architecture of Hadoop, the working of Hadoop distributed file system and MapReduce programming model. Hadoop Introduction
This presentation gives an overview of Hadoop HDFS concepts like Blocks, Rack Awareness, Safe Mode etc. Hadoop HDFS Concepts from tutorialvillage
If you wish to deploy Hadoop Single node setup, please follow the blog here. Pre-requisites Before starting with Hadoop cluster setup, make sure that the node have the following pre-requisites: a) Any Linux Operating system b) Sun Java 1.6 or above should already be installed and the version should be same across all […]
Pre-requisites Before starting with Hadoop single node installation, make sure that the node have the following pre-requisites: a) Any Linux Operating system b) Sun Java 1.6 or above should already be installed and the version should be same across all the nodes. To install Java, you can refer to the installation steps […]