Big data Hadoop Interview Guide

By Vishwanathan Narayanan

This book prepares you for Big data interviews w.r.t. Hadoop system and its ecosystems such as HBase, Pig, Hive, Flume, Sqoop, and Spark. Over the last few years, there is a rise in demand for Big Data Scientists/Analysts throughout the globe. Data Analysis and Interpretation have become very important lately

The book covers many interview questions and the best possible ways to answer them. Along with the answers, you will come across real-world examples that will help you understand the concepts of Big Data. The book is divided into various sections to make it easy for you to remember and associate it with the questions asked.

• Language: English
• Publisher: BPB Online LLP
• Release date: Dec 22, 2020
• ISBN: 9789389898330

Book preview

SECTION 1

Big Data, Hadoop, and HDFS

Learning objectives

In this session, we will cover:

Conceptual questions related to big data

Basic to advanced level questions on Hadoop, HDFS, and Map reduce algorithms

Let’s start!

What is the big data paradigm? How is it different from the earlier paradigm?

Ans. As the name suggests, Big data deals with a large amount of data that cannot be handled by a conventional paradigm. Big data provides an efficient way of storing and processing structured and unstructured data. The difference from the earlier ones is shown by the following properties:

Figure 1.1: 5 V’s of big data

Does it imply that the use of RDBMS will go away with the advent of Big data? Justify.

Ans. The answer is no. The use case of RDMS, which is a relational database, and the use case of big data are different. Basically, RDBMS is preferred for transaction-based processing, which is also known as OLTP, while big data is preferred for analytical processing.

Can you compare big data and RDBMS?

Ans. Here’s the