Hadoop is a Big Data tool that is written into Java to analyze and handle very large-size data using cheaper systems/servers. It is also known for its efficient and reliable storage technique. Hadoop works on MapReduce Programming Algorithm and Master-Slave architecture. Top Companies like Facebook, Yahoo, Netflix, eBay, etc. are using Hadoop in their Organization to find a solution for Big data problems. High-end processing frameworks like Apache Spark, Amazon S3, and Databricks are built on top of Hadoop.
10 Best Books To Learn Hadoop
Let’s read about the 10 Best Recommended Books To Learn Hadoop which provides quality and you can get the most through these books.
1. Hadoop: The Definitive Guide
- Author: Tom White
- Publisher: O’Reilly Media
This is one of the best-recommended books for beginners who want to learn Apache Hadoop from the very basics. The book comprises all the concepts from basic to advance that a software engineer needs to understand. The complete workflow of Hadoop and its internal components is available in Hadoop: The Definitive Guide. The e-book is also available for free. This particular book is good for programmers who want to investigate datasets of any length. It is also a helpful and right choice for directors seeking out putting in and walking Hadoop clusters. You can write your programs in map-reduce since the book will teach you MapReduce from simple to advanced levels. It consists of fundamentals for flume/scoop utilized in records transfers. It guides novices to build a reliable and easily maintainable Hadoop configuration and helps to work on datasets irrespective of sizes and brands. Numerous assignments are also available that assist you to learn Hadoop’s actual-time capability in a much easier way. Even in the latest version, you can easily find the trendy adjustments made in Hadoop without problems.
2. Hadoop in 24 Hours
- Author: Jeffrey Aven
- By: Sams Teach Yourself
This book offers you an ideal review of constructing a purposeful Hadoop platform, interface, and all Hadoop environment additives. The one who already has a basic knowledge of Hadoop can refer to this book for a quick revision of the Hadoop Big Data technology. The book is preferable if you are looking for real-time case studies and actual examples. The book explains the entire exercise from the agency surroundings to the local server setup. HDFS and components of the Hadoop ecosystem like a pig, the hive is covered. One can master map-reduce programming concepts with this book in a very short period. Importing data to process in Hadoop, all these steps are wisely explained along with the YARN functionalities and their importance. It indicates how to put in force and administer YARN. The Hadoop environment components like apache ambari are also discussed. It also helps users to learn the Hadoop consumer environment (hue) by learning security, scaling, and troubleshooting functionalities.
3. Hadoop in Practice
- Author: Alex Holmes
- Publisher: Manning
Hadoop in movement is a one-roof solution to learning Hadoop. All the necessary information and concept to learn apache Hadoop are embedded in the older and latest release of this book. It essentially begins from the default Hadoop installation procedures. Then covers approximately the maximum vital component of Hadoop, the MapReduce in an easier way. the book deals with actual-time programs of Hadoop and MapReduce consisting of the major large statistics frameworks used in records analytics. It also specifically explains how to query data using Pig and writing log file loader. The Book consists of several real-time use cases that enable you to construct your solution for any of the problems. The source code is also provided in a very optimized way to learn an efficient way to solve a problem. This book is not recommended for beginners one should possess some prior knowledge of Hadoop and map-reduce to get a better intuition of this book. One similar book Hadoop in Action can also be used.
4. Hadoop Operations
- Author: Eric Summers
- Publisher: O’Reilly Media
Hadoop Operations mainly focus on managing and solving big data problems over large data sets using a large cluster comprises of hundreds of nodes. Nowadays Hadoop has turned out to be the best solution for all the huge information problems that require the management of operation-specific data. This operation-specific data has grown exponentially as the demand for Hadoop is got increased in the market. Processing this large operation-specific data for enterprises require high-end configuration. The book provides the resources for the same to tackling the massive data problem. All the bottleneck issues are covered in this book which enables you to advance your Hadoop learning skills. It also provides a top-level idea of HDFS and MapReduce and their consequences. This book is recommended for Administrators and professionals.
5. Pro Hadoop
- Author: Jason Venner
- Publisher: Apress Publications
Pro Hadoop is always recommended for experienced learners. One who has experience working with Hadoop can refer to this book to strengthen their core concepts and knowledge and can dive deeper to know more consequences of Hadoop. Every single piece of information from easy to expertise about Hadoop clusters, beginning from putting in place a Hadoop cluster to reading and deriving precious records for improvising enterprise and medical research is covered in this book. Actual-time massive information problems are solved using Map-Reduce by dividing them into small problems over distributes nodes to resolve them in optimum time.
6. Hadoop Beginner’s Guide
- Author– Garry Turkington
- Publisher– Packt Publishing.
Hadoop Beginner’s Guide is perfect for someone who wants to learn tools and techniques which you can use for building a complete infrastructure for handling your needs and understanding the Hadoop to solve problems present in the real world. While reading this book, one will able to develop applications, using the additional product in order to integrate with other systems. In this book, you will find various topics such as developing applications, maintaining the system, and how to use additional products to integrate with other systems, etc
7. Hadoop Real-World Solutions Cookbook
- Author– Jonathan Owens, Brian Femiano, Jon Lentz
- Publisher– Packt Publishing.
This book is best for someone who wants to have an in-depth explanation of everything and codes with examples. Hadoop Real-World Solutions Cookbook provides a set of recipes with each chapter with that pose, then solve, along with technical challenges. There is a complete order that can be followed and people can practice properly. There are many easy steps provided for a single solution by the authors so that the candidate can follow them easily and solve the questions.
8. Hadoop In Action
- Author– Chuck Lan
- Publisher– Dreamtech Publishers
The book is best for beginners as it has a basic idea of Hadoop and MapReduce which is very easy to learn. You can learn things by following easy-to-follow steps such as analyzing changes in word frequency across a body of documents. Hadoop in Action contains the basic concept of MapReduce and how it is used for developing Hadoop concepts. The author has also included how Hadoop is used for a variety of data analysis tasks along with various examples for the readers.
9. Data Analytics With Hadoop
- Author– Benjamin Bengfort & Jenny Kim
- Publisher– O’Reilly
The book data analytics with Hadoop is written by Benjamin Bengfort & Jenny Kim where you will find the core concepts behind cluster computing and Hadoop, ways of using design patterns and parallel analytical algorithms for creating distributed data analysis jobs, mining, warehousing in distributed context using Apache Hive, and earning about data management. This books also include machine learning techniques, clustering, collaborative filtering, etc.
10. Programming Hive
- Author– Edward Capriolo & Dean Wampler
- Publisher– O’Reilly
The book will teach you the ways to create, alter, and drop databases, tables, views, functions, indexes, and hive patterns. Programming hive will also allow you to customize data formats and storage options, from files to external databases. You can learn various hive patterns along with several hive patterns that should be avoided along with data processing programs, load and extract data from tables.
Conclusion
So these were the few recommended books to learn Hadoop with solved examples and if you want to learn the concepts of Hadoop then you can choose the book which you think is best for you and learn the basic concepts of Hadoop very easily. Pick a book and learn Hadoop with real-time case studies.
Frequently Asked Questions
Q1. How many days are required to learn Hadoop?
You can learn Hadoop in 3-4 months if you’re a self-learner. Just pick any book/online course and you’re good to go to master Hadoop.
Q2. What knowledge is required for Hadoop?
You need to have knowledge on programming language, depending on the role which fits you in. R or Python are required for analysis, while Java is more required for development work.
Q3. What is the starting salary of Hadoop?
The salary of a Hadeep developer who has 2-4 years of experience ranges from 3 LPA to 12 LPA.
