Currently, organisations have been dealing with a huge amount of data, which are both structured and unstructured. According to research, the Hadoop big data analytics market is forecasted to grow at a CAGR of 40% over the next four years. It is one of the biggest reasons behind the rapid industry growth.
In this article, we list down 9 free e-books to learn big data.
(The list is in alphabetical order)
1| Big Data Now
This book gives an introduction to big data and will help you understand big data tools, techniques and strategies. It will help you understands Apache Hadoop, applications of big data, MapReduce, Pig, Hive, how to improve data access through HBase, Sqoop and Flume.
Get the book here.
2| Cloudera Impala
The book Cloudera Impala helps you understand this open-source project, which is opening up the Apache Hadoop software stack. You will understand how the Impala’s massively parallel processing (MPP) engine makes SQL queries of Hadoop data simple enough to be accessible by analysts familiar with SQL and to users of business intelligence tools.
Get the book here.
3| Data Mining and Analysis
This book is an outgrowth of data mining courses at Rensselaer Polytechnic Institute
(RPI) and Universidade Federal de Minas Gerais (UFMG). It focuses on the fundamental algorithms in data mining and analysis and lays the mathematical foundations for the core data mining methods, with key concepts explained when first encountered. Having understood the basic principles and algorithms in data mining and data analysis, readers will be well equipped to develop their own methods or use more advanced techniques.
Get the book here.
4| Data-Intensive Text Processing with MapReduce
This book provides an introduction to scalable approaches for processing large amounts of text with MapReduce. You will learn the basics of MapReduce, algorithm design such as local aggregation, web crawling, graph algorithms, EM algorithms for text processing, and other such topics. This book also introduces the limitations of MapReduce and alternative computing paradigms.
Get the book here.
5| Disruptive Possibilities: How Big Data Changes Everything
This book introduces big data and its computing platforms, how to use the reservoir of data, what happens when the cloud meets big data, tools like HDFS, NoSQL, etc. The author of this book is basically story-telling how the advent of Big Data changes everything around us and how it positively affects the computing era.
Get the book here.
6| Hadoop Explained
Hadoop Explained by Aravind Shenoy introduces big data, tools like Hadoop, MapReduce, how and when to use these tools and its advantages, introduction to components that make up a Hadoop cluster such as DataNode, NameNode, and what are the changes in HDFS for Hadoop 2.x. This book is a free kindle version which is available in Amazon.
Get the book here.
7| Machine Learning and Big Data
The idea behind this book is to have a balance between theory and implementation for the software engineer to implement machine learning models comfortably without relying too much on libraries. This book covers several programming languages like Python, C++, Java and Scala. It includes the basics of Scala, introduction to statistics, probability, support vector machines, Spark implementations and much more.
Get the book here.
8| Migrating Big Data Analytics into the Cloud
This book by Mike Barlow explains how strong is the movement of big data analytics to the cloud. The report on this book is based on a survey by O’Reilly data analyst John King, who reveals that the desire among corporations to adopt big data-as-a-service is gaining momentum-and that many organisations with big data cloud experience are likely to expand their use.
Get the book here.
9| Real-Time Big Data Analytics: Emerging Architecture
Real-Time Big Data Analytics: Emerging Architecture by Mike Barlow explains how the data world has been revolutionised and tools like Hadoop and MapReduce, made it possible to get the results in few minutes from a colossal amount of data. The book examines tools and technologies that are driving real-time big data analytics. This book is a free kindle version, which is available on Amazon.
Get the book here.
