ElasticSearch Interview Questions and Answers

In this tutorial, we would discuss about ElasticSearch Interview Questions and Answers for beginners as well as experienced. Elasticsearch is a real-time and evenly distributed search engine that supports restful searching and analysis based upon the Apache Lucene full-text search engine. It has distributed and full-field real-time analytics storage. Along […]

Comparison Between Hadoop 2.x vs Hadoop 3.x

Hadoop2 vs Hadoop3

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 […]

Usage of contains () and starts-with () functions in Xpath

In the current tutorial, we would shed light on various functions that can be used to create Xpaths when we possess only the partial knowledge about the HTML attribute associated with the web element. Thus In this tutorial we would have a look at the “Usage of contains () and […]

Python Programming & Data Analysis Interview Questions and Answers

Python Certification is the most sought-after skill in programming domain. In this Python Interview Questions blog, We will introduce you to the most frequently asked questions in Python interviews. Our Python Interview Questions is the one-stop resource from where you can boost your interview preparation. We have questions on Python […]

Writing Custom Combiner in MapReduce

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. […]

How Combiner works in Hadoop MapReduce

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 […]