Ilias Tsagklis

About Ilias Tsagklis

Ilias Tsagklis is a senior software engineer working in the telecom domain. He is an applications developer in a wide variety of applications/services. Ilias is co-founder and Executive Editor at Java Code Geeks.

Hadoop Books Giveaway by Java Code Geeks and Packt

Dear geeks, due to high participation and in order to give the opportunity to win to as many Hadoop fans as possible, we decided to extend the contest for one more week until next Tuesday.

Fellow geeks,

The giveaways continue here at Java Code Geeks.

We are pleased to announce that we have once again teamed up with Packt Publishing and we are organizing a Hadoop books giveaway just for you!

6 lucky winners will have the chance to win copies of Packt’s best-selling books on Hadoop (print and ebook format).

Keep reading to find out how you can be one of the lucky winners…

The Prizes

Hadoop Real-World Solutions Cookbook

hadoop-real-world-solutions-cookbook

Helping developers become more comfortable and proficient with solving problems in the Hadoop space. People will become more familiar with a wide variety of Hadoop related tools and best practices for implementation. Hadoop Real-World Solutions Cookbook will teach readers how to build solutions using tools such as Apache Hive, Pig, MapReduce, Mahout, Giraph, HDFS, Accumulo, Redis, and Ganglia.

Hadoop Real-World Solutions Cookbook provides in depth explanations and code examples. Each chapter contains a set of recipes that pose, then solve, technical challenges, and can be completed in any order. A recipe breaks a single problem down into discrete steps that are easy to follow. The book covers (un)loading to and from HDFS, graph analytics with Giraph, batch data analysis using Hive, Pig, and MapReduce, machine learning approaches with Mahout, debugging and troubleshooting MapReduce, and columnar storage and retrieval of structured data using Apache Accumulo.

Hadoop Real-World Solutions Cookbook will give readers the examples they need to apply Hadoop technology to their own problems.

Hadoop Beginner’s Guide

hadoop-beginners-guide“Hadoop Beginner’s Guide” removes the mystery from Hadoop, presenting Hadoop and related technologies with a focus on building working systems and getting the job done, using cloud services to do so when it makes sense. From basic concepts and initial setup through developing applications and keeping the system running as the data grows, the book gives the understanding needed to effectively use Hadoop to solve real world problems.

Starting with the basics of installing and configuring Hadoop, the book explains how to develop applications, maintain the system, and how to use additional products to integrate with other systems.

While learning different ways to develop applications to run on Hadoop the book also covers tools such as Hive, Sqoop, and Flume that show how Hadoop can be integrated with relational databases and log collection.

In addition to examples on Hadoop clusters on Ubuntu uses of cloud services such as Amazon, EC2 and Elastic MapReduce are covered.

Hadoop MapReduce Cookbook

hadoop-mapreduce-cookbook
“Hadoop MapReduce Cookbook” is a one-stop guide to processing large and complex data sets using the Hadoop ecosystem. The book introduces you to simple examples and then dives deep to solve in-depth big data use cases.

“Hadoop MapReduce Cookbook” presents more than 50 ready-to-use Hadoop MapReduce recipes in a simple and straightforward manner, with step-by-step instructions and real world examples.

Start with how to install, then configure, extend, and administer Hadoop. Then write simple examples, learn MapReduce patterns, harness the Hadoop landscape, and finally jump to the cloud.

The book deals with many exciting topics such as setting up Hadoop security, using MapReduce to solve analytics, classifications, on-line marketing, recommendations, and searching use cases. You will learn how to harness components from the Hadoop ecosystem including HBase, Hadoop, Pig, and Mahout, then learn how to set up cloud environments to perform Hadoop MapReduce computations.

“Hadoop MapReduce Cookbook” teaches you how process large and complex data sets using real examples providing a comprehensive guide to get things done using Hadoop MapReduce.

How to Enter?

Just send an email here using as subject “Packt Hadoop Book Giveaway”. An empty email will do, it’s that simple! (Note: By entering the contest you will be automatically included in the forthcoming Java Code Geeks Newsletter.)

Deadline

The contest will close on Tuesday 26 March 2013 PT. Winners will be contacted by email, so be sure to use your real email address!

Reviewers needed

Packt is also looking out for reviewers and have 15 additional copies of the book as a give away to anybody who can review the book for them online (on their blog/website, Amazon etc.). If you are interested, please shoot me an e-mail and I will get you in contact with Packt’s representatives directly.

Important Notes

Please spread the news! The larger the number of participants the more people will be eligible for getting discounts on best-selling Packt’s books!

Don’t forget, sharing is caring!

Related Whitepaper:

Functional Programming in Java: Harnessing the Power of Java 8 Lambda Expressions

Get ready to program in a whole new way!

Functional Programming in Java will help you quickly get on top of the new, essential Java 8 language features and the functional style that will change and improve your code. This short, targeted book will help you make the paradigm shift from the old imperative way to a less error-prone, more elegant, and concise coding style that’s also a breeze to parallelize. You’ll explore the syntax and semantics of lambda expressions, method and constructor references, and functional interfaces. You’ll design and write applications better using the new standards in Java 8 and the JDK.

Get it Now!  

One Response to "Hadoop Books Giveaway by Java Code Geeks and Packt"

  1. This is a great promotion Ilia, Packt publishing and Java Code Geeks are both powerfull knowledge repositories that enrich a software engineers’ technical repertoire . Keep up the good work JCG!

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