A guide for professionals to start working with Hadoop, understand its architecture and explore the power of Hadoop.
In this article, you will learn to write MapReduce program using Java programming language. This program is to just understand the concept of MapReduce programming, which will simply take some input file and same data will be passed through Mappers and Reducer to generate the final output. Pre-Requisites: 1. Eclipse […]
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 […]
Combiner function is used as an optimization technique for MapReduce jobs. Combiner class combines/reduce the data generated by Mappers before it gets transferred to the Reducers. In previous post, you learned about how combiner works in MapReduce programming. In most of cases you can use Reducer class as Combiner class. […]
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 […]
Sqoop is an Apache Hadoop top-level project and designed to move data between Hadoop and RDBMS. Sqoop is a collection of related tools. To use Sqoop, you specify the tool you want to use and the arguments that control the tool. sqoop tool-name [tool-arguments] In this post, we will cover […]
To process and analyze data in Hadoop, it requires loading data into Hadoop file system that is present on Application server and databases. Sqoop is a tool designed to transfer data between Hadoop and relational databases or mainframes. You can use Sqoop to import data from a relational database management […]
This blog gives an overview of HDFS snapshots and different operations that users / cluster administrators can perform related to HDFS snapshots. It also explains snapshot management through Cloudera Manager. Overview of HDFS Snapshots Snapshots are data backup for protection against user errors and disaster recovery. Snapshots can be taken on a sub-tree of […]
This blog describes the configuration of static service pools through Cloudera Manager. It assumes that you have a cloudera cluster already running and you have read the previous blog related to concept of Cloudera Manager – cgroups and static service pools. Configuring Static Service Pools To configure, open the Configuration […]
This blog describes the concept of cgroups and static service pools in Cloudera Manager. It assumes that you already have a cloudera cluster running. If not, then you can download a Cloudera Quick-Start VM from Cloudera. Defining cgroups Linux Control Groups (cgroups – abbreviated from control groups) is a Linux kernel feature that […]