Issues with Data Load into Hadoop Analytical processing using Hadoop requires loading of huge amounts of data from diverse sources into Hadoop clusters. This process of bulk data load into Hadoop, from heterogeneous sources and then processing it, comes with certain set of challenges. Maintaining and ensuring data consistency and ensuring efficient utilization of resources, … Continue reading What is Sqoop? What is FLUME – Hadoop
Data management including capturing , storing and analyzing data was very expensive and complicated prior to its management by Hadoop. With the entry of Hadoop in the industry, data management became to handy as well as less expensive. Hadoop’s processing part that is the MapReduce makes it possible for doing the entire data management process … Continue reading Why is Hadoop the Best Platform for Data Management?
Hadoop greatly helps in storing and processing large data sets in a distributed computing environment. Today, the framework is largely adopted in IT solutions and hence the need for Hadoop experts who are trained in the field. Given below are some of the reasons why Hadoop training has become important. Importance of Hadoop training Hadoop … Continue reading 13 Reasons Why System/Data Administrators should do Hadoop Training
Data locality is about making sure a big data set is stored near the compute that performs the analytics. For Hadoop, that means managing DataNodes that provide storage for MapReduce to perform adequately. It works effectively, but leads to the separate operational issue of islands of big data storage. Here are some tips on how … Continue reading Top 10 Tips for Scaling Hadoop
Installing Java Syntax of java version command $ java -version Following output is presented. java version "1.7.0_71" Java(TM) SE Runtime Environment (build 1.7.0_71-b13) Java HotSpot(TM) Client VM (build 25.0-b02, mixed mode) Creating User Account System user account on both master and slave systems should be created to use the Hadoop installation. # useradd hadoop # … Continue reading Hadoop Multi Node Clusters
Apache HADOOP is a framework used to develop data processing applications which are executed in a distributed computing environment. Components of Hadoop Features Of 'Hadoop' Network Topology In Hadoop Similar to data residing in a local file system of personal computer system, in Hadoop, data resides in a distributed file system which is called as … Continue reading Hadoop: Features, Components, Cluster & Topology
As data science has matured over the past few years, so has the need for a different approach to data and its “bigness.” There are business applications where Hadoop outperforms the newcomer Spark, but Spark has its place in the big data space because of its speed and its ease of use. This analysis examines … Continue reading Hadoop vs. Spark: The New Age of Big Data