Big Data and Hadoop - 2nd Edition

In todays data-driven world, harnessing the power of big data is no longer a luxury, but a necessity. This comprehensive guide, "Big Data and Hadoop," dives deep into the world of big data and equips you with the knowledge and skills you need to conquer even the most complex data landscapes.

Start with the fundamentals of big data, exploring its growing significance and diverse applications. Youll look into the heart of the Apache Hadoop ecosystem, mastering its core components like HDFS and MapReduce. Well demystify NoSQL databases, introducing you to HBase and Cassandra as powerful alternatives to traditional databases.

Clarify the details of MapReduce programming with practical examples, and discover the power of PigLatin and HiveQL for efficient data analysis. Explore advanced tools like Spark, unlocking its potential for real-time data processing and analytics. Rounding out your knowledge, the book delves into practical applications, exploring real-world scenarios and research-based insights. By the end of this book , youll emerge as a confident big data explorer, equipped to tackle any data challenge with expertise and precision.

KEY FEATURES

* Learn Apache Hadoop ecosystem and its core components.
* Discover advanced tools like Spark for real-time data processing.
* Master the fundamentals of Big Data and its applications.

WHAT YOU WILL LEARN

* Gain a solid grasp of the fundamental concepts of big data.
* Acquire a comprehensive understanding of HDFS, MapReduce, YARN, Spark, and related components.
* Learn how to set up and configure Hadoop clusters to create scalable and reliable data processing environments.
* Develop the expertise to design, code, and execute MapReduce jobs to process and analyze vast datasets efficiently.
* Learn how to use Hadoop and related tools to perform advanced data analytics.

WHO THIS BOOK IS FOR

Whether you are a beginner or have some experience with big data. This book is for aspiring big data professionals, including data analysts, software developers, IT professionals, and students in computer science and related fields.

1. Big Data Introduction and Demand
2. NoSQL Data Management
3. MapReduce Technique
4. Basics of Hadoop
5. Hadoop Installation
6. MapReduce Applications
7. Hadoop Related Tools-I: HBase and Cassandra
8. Hadoop Related Tools-II: PigLatin and HiveQL
9. Practical and Research-based Topics
10. Spark

Mayank Bhushan has a teaching experience of more than 15 years. He holds a B.Tech. degree in Computer Science and Engineering and an M.Tech. degree in the same field from Motilal Nehru National Institute of Technology Allahabad, Prayagraj. In addition to having good grades, he is certified to have global experience in Big Data Analytics and Salesforce-Cloud computing. Besides that, he has a certificate in Computer Networking from IIT Kharagpur, especially in the Linux platform. Along with this book, he has written various books tailored for vocational studies.

Throughout his career, the privilege of sharing knowledge through lectures at both private and government engineering colleges has been experienced. The focus during these lectures has been on the subject of Big Data and Hadoop. Commitment to education is deeply held by him and a self-designed course on Big Data and Cloud Computing has been developed. In this course, not only knowledge is imparted by him, but also valuable project ideas and real-time solutions to address any doubts are provided.

He has written many books in this area and is known for making important contributions to international study. With a lot of experience, he has written a number of important research papers that have been read around the world. Aside from his study, Mayank Bhushan has been an inspiration to many scholars, helping them with their theses and being a valuable mentor.

His knowledge and devotion have not only made academic literature better, but they have also had a huge impact on the academic careers of people who want to become researchers. His commitment to advancing knowledge and nurturing the next generation of scholars is evident in his prolific research output and mentorship roles.