In this article, we will understand the very basic question which the beginners in the field of Big Data have. That is What is the difference between Big Data and Apache Hadoop. 1. Introduction The difference between Big Data and Apache Hadoop is distinct and quite fundamental. But most of the people especially the beginners … Continue reading Difference Between Bigdata and Hadoop
YARN Hadoop An Overview of Hadoop YARN and its Advantages In 2012, ‘Yet Another Resource Negotiator’ as the acronym YARN stands for, became a Hadoop subproject within the Apache Software Foundation (ASF). As one of the key features of the Hadoop v2.0 update, it has contributed significantly to Hadoop functioning and has expanded the scope … Continue reading YARN Hadoop
What is Hadoop MapReduce? Map reducing is a technical program that is used for distributed systems and it is based on Java. The algorithm of map-reduce contains two tasks which are known as Map and Reduce. The tasks carried out by map are as follows: map takes a set of data and converts it into … Continue reading What is Hadoop MapReduce?
Apache Spark vs Hadoop Spark and Hadoop are both the frameworks that provide essential tools that are much needed for performing the needs of Big Data related tasks. Of late, Spark has become preferred framework; however, if you are at a crossroad to decide which framework to choose in between the both, it is essential … Continue reading Apache Spark vs Hadoop
The Hadoop Distributed File System (HDFS) is a distributed file system. It is a core part of Hadoop which is used for data storage. It is designed to run on commodity hardware. Unlike other distributed file system, HDFS is highly fault-tolerant and can be deployed on low-cost hardware. It can easily handle the application that … Continue reading HDFS Features and Goals
What is Big Data Testing? BigData testing is defined as testing of Bigdata applications. Big data is a collection of large datasets that cannot be processed using traditional computing techniques. Testing of these datasets involves various tools, techniques, and frameworks to process. Big data relates to data creation, storage, retrieval and analysis that is remarkable … Continue reading Big Data Testing: What is, Strategy, How to test Hadoop
What is Hadoop? Apache Hadoop is an open source software framework used to develop data processing applications which are executed in a distributed computing environment. Applications built using HADOOP are run on large data sets distributed across clusters of commodity computers. Commodity computers are cheap and widely available. These are mainly useful for achieving greater … Continue reading What is Hadoop? Introduction, Architecture, Ecosystem, Components