Best Big Data Books

If you find yourself at this post you know or at the very least are interested in Big Data and how significant it is today. To put it like a loosely it is a combination of technologies that enable us to work with massive data sets. Work here entails processing, analysis, transfer, visuialization and querying data, among anything else. 


Big data skills are highly in demand at the present moment. It is estimated by various data gurus that this demand is only going to grown for at least the next 5 years. 


Are you looking for a complete list of all that you need to know to call yourself a big data guru?
I have compiled here the books I believe are extremely useful through your journey into this amazing field. 

1.  Hadoop: The Definitive Guide, Tom White 

                                                 

Topics Covered: 

•   Introduction to Hadoop

•   HDFS and YARN deep dive 

•   The traditional MapReduce API for Java

•   Hadoop IO - Sqoop and Flume, Avro and SequenceFiles 

2. Hadoop Operations, Eric Sammer, O’Reilly.

                                                 

 

Systems Performance, Enterprise and the Cloud, Brendan Gregg, Prentice Hall. 

                                             

Topic Covered: Hadoop administration

3. Programming Hive, Capriolo, Wampler and Rutherglen, O'Reilly

                                                 

Topics Covered: Hive basics

4. Programming Hive, Capriolo, Wampler and Rutherglen, O'Reilly

Programming Pig, Gates, O’Reilly.

                                 

                                             

Topics Covered: Hive UDFs Pig

5. HBase: The Definitive Guide, Lars George, O'Reilly

                                    

 Topics Covered: HBase

6. Learning Spark: Lightning-Fast Big Data Analysis, Konwinski, O'Reilly

                           

Topics Covered: Spark analysis: Intro to the Spark ecosystem 

Disclaimer: I am in no way associated with the writers, sellers or distributors of these books.