Hadoop Interview Guide, by Monika Singla, Sneha Poddar
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Hadoop Interview Guide, by Monika Singla, Sneha Poddar
Best Ebook Hadoop Interview Guide, by Monika Singla, Sneha Poddar
This book is designed to provide in-depth knowledge of Hadoop components. It will equip you to apply for a job as a Hadoop Developer right from beginner to mid-level positions. The concepts are written in easy to grasp manner with program examples, which will be apt for anyone who want to solidify their understanding. It is packed with over 400 interview questions with answers. This book is also a good starting point for anyone who wants to venture into the Hadoop field from other IT fields. The chapters ‘Ch1. Introduction to Hadoop’, ‘Ch2. HDFS’ provide you with the introduction to core concepts in Hadoop. If you have strong programming experience then ‘Ch3. MapReduce/Yarn’ and creating UDFs in ‘Ch7. Hive’ and ‘Ch9. Pig’ are easy to grasp. While if you have strong expertise in XML then Chapters like ‘Ch4. Flume’ and ‘Ch6. Oozie’ will be easy to understand. Strong SQL background will make understanding ‘Ch5. Sqoop’, ‘Ch7. Hive’ and ‘Ch8. Impala’ easy. ‘Ch10. Java Refresher for Hadoop’ will help you refresh you Java knowledge.
Hadoop Interview Guide, by Monika Singla, Sneha Poddar- Amazon Sales Rank: #158288 in eBooks
- Published on: 2015-03-11
- Released on: 2015-03-11
- Format: Kindle eBook
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Most helpful customer reviews
1 of 1 people found the following review helpful. Overall a helpful book for the interview! By Ian Stirk Hi,I have written a detailed chapter-by-chapter review of this book on www DOT i-programmer DOT info, the first and last parts of this review are given here. For my review of all chapters, search i-programmer DOT info for STIRK together with the book's title.This Kindle-only e-book aims to help you pass an interview for a job as a Hadoop developer at the junior or mid-level position, how does it fare?Targeted at existing Hadoop developers, it aims to provide in-depth knowledge of Hadoop and its components. It’s also a starting point for anyone wanting to venture into the Hadoop field from other IT fields.It is divided into 10 sections (Hadoop, HDFS, MapReduce, Flume, Sqoop, Oozie, Hive, Impala, Pig, and Java) with a total of 434 questions, and 23 example tasks to programs or follow along with.Below is a chapter-by-chapter exploration of the topics covered.Chapter 1 Introduction to HadoopTraditionally, Hadoop was considered as a combination of the Hadoop Distributed File System (HDFS) and the batch programming model MapReduce. In Hadoop 2, Yet Another Resource Negotiator (YARN) was added. However, increasingly, Hadoop is taken to mean all these things, together with Hadoop’s wider range of components.Example questions include:*What is big data?*Why do we need a new framework for handling big data?*What is Hadoop?This chapter provides a useful introduction to Hadoop in the wider context of big data. There’s a very useful step-by-step walkthrough on how to set up a standalone Hadoop environment using Cloudera’s QuickStart VM....ConclusionThis book contains a wide-range of questions about Hadoop and its components, and the answers generally provide accurate explanations with sufficient detail. The tasks to program at the end of each chapter should prove useful in demonstrating your practical understanding of the topics.Many other common Hadoop components could have been included e.g. HBase (NoSQL database), Spark (fast MapReduce replacement), ZooKeeper (configuration), and Mahout (machine learning). Perhaps it can be expanded in the future to include these topics - that said, the book does cover many of the core Hadoop technologies.I don’t think you can learn the subjects directly from this book, but you can use it as a benchmark to measure how much you have learned elsewhere.Generally the book is well written, however, some of the questions have substandard English grammar. Some of the longer example code is difficult to read because it is not formatted adequately. The references at the end of the book are useful, but details of publication date, edition, and publisher are missing (one has only the author’s first name!). There is a large list of websites at the end of the book, however, none of the sites is annotated.It should be remembered that Hadoop and its components are rapidly changing. So it’s important to view the answers in the context of the version used e.g. CDH 5.3 has Hive version 0.13.1 which does not support data modifications (as answered in the book), however Hive version 0.14.0 does.This book contains a wide-range of useful questions about Hadoop and many of its components. Overall a helpful book for the interview!
2 of 2 people found the following review helpful. good start By janak acharya Good start is half doneSome more questions from Hadoop for multiple inputs, joins and so on would be great . A very nice ref.
1 of 1 people found the following review helpful. Good read for commonly asked Hadoop interview questions By Rahul Saini Good read for commonly asked Hadoop interview questions but authors should have included a scenario based questions approach also.
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