 Название: Big Data Hadoop Interview Guide: Get answers to the most frequently asked questions in a Hadoop interview
Автор: Vishwanathan Narayanan
Издательство: BPB Publications
Год: 2021
Страниц: 154
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB
A power-packed guide with solutions to crack a Big data Hadoop Interview.
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.
What you will learn
Apache Pig interview questions and answers
HBase and Hive interview questions and answers
Apache Sqoop interview questions and answers
Apache Flume interview questions and answers
Apache Spark interview questions and answers
Key Features
Get familiar with Big data concepts
Understand the working of Hadoop and its ecosystem.
Understand the working of HBase, Pig, Hive, Flume, Sqoop and Spark
Understand the capabilities of Big data including Hadoop and HDFS
Up and running with how to perform speedy data processing using Apache Spark
Who this book is for
This book is for anyone interested in big data. It is also useful for all jobseekers and freshers who wants to drive their career in the field of Big Data and Data Processing.
Table of Contents
1. Big data, Hadoop and HDFS interview questions
2. Apache PIG interview questions
3. Hive interview questions
4. Hbase interview questions
5. Apache Sqoop interview questions
6. Apache Flume interview questions
7. Apache Spark interview questions
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Big Data Hadoop Interview Guide: Get answers to the most frequently asked questions in a Hadoop interview 