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Let's discuss 8 best books to learn Hadoop and how to get started with it.
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Wednesday, October 22, 2014:
Hadoop is a common term in database analytics and content management
system these days. Google first designed Hadoop which manages huge
database and distributes big data across a network. Hadoop experts are
in huge demand across industries to handle and compute databases. Let's
discuss 8 best books to learn Hadoop and how to get started with it.
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1. Hadoop: The Definitive Guide:
Written
by Tom White, it's one of the best resources to make you familiar to
the world of big data management. Written in easy language, the book
details about the nuances of Hadoop technology. If you have some primary
knowledge in Java language, then this book will be better for you.
2. Hadoop in Practice:
This
book is authored by Alex Holmes and it collects 85 examples in a
problem-solution format. It covers key problem areas like data ingress
and egress, serialisation and LZO compression. Each technique can be
explored with a specific solution and the examples provide a
well-structured codebase meeting your learning requirements.
3. Hadoop in Action:
Written
by Chuck Lam, this book teaches how to use Hadoop and write MapReduce
programs. This book caters to programmers, architects and project
managers.
4. Hadoop Operations:
Eric
Sammer details about the technology in this book and it's highly
recommended as a user's manual covering every aspect of Hadoop
technology. The book is excellent for both beginners and advanced
learners.
5. Professional Hadoop Solutions:
It
provides deep insight into Hadoop and related technologies. You can
understand the technology in a complicated way and this book is mostly
suggested for advanced learners of big data management technology.
6. Agile Data Science: Building Data Analytics Applications with Hadoop:
Russell
Jurney talks about Hadoop software applications and how Hadoop is used
for HDFS programming. It deals with various applications of the big data
technology and it's mostly recommended for data scientists in the field
of big data analytics.
7. Instant MapReduce Patterns - Hadoop Essentials How-to:
Srinath
Perera provides basic knowledge about Mapreduce programming and
MapReduce design patterns in this book. It's meant for beginners of
Hadoop technology and also advanced learners. Written in an easy
language this book provides example codes to make the learning process
simpler.
8. Data Science for Business:
This
book covers programming and algorithms in the world of big data
management. This book also focuses on the business world perspective and
this technology can be used to meet your business requirements. |
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