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Description

If you are a system or application developer interested in learning how to solve practical problems using the Hadoop framework, then this book is ideal for you. You are expected to be familiar with the Unix/Linux command-line interface and have some experience with the Java programming language. Familiarity with Hadoop would be a plus.

Who is this book for?

What you will learn

Write distributed applications using the MapReduce framework

Go beyond MapReduce and process data in real time with Samza and iteratively with Spark

Familiarize yourself with data mining approaches that work with very large datasets

Prototype applications on a VM and deploy them to a local cluster or to a cloud infrastructure (Amazon Web Services)

Conduct batch and real time data analysis using SQLlike tools

Build data processing flows using Apache Pig and see how it enables the easy incorporation of custom functionality

Define and orchestrate complex workflows and pipelines with Apache Oozie

Manage your data lifecycle and changes over time

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Frequently bought together

Mastering Hadoop

Dec 2014 374 pages

4 (3)

eBook

€8.99 ~~€32.99~~

Learning Hadoop 2

Feb 2015 382 pages

3.8 (4)

eBook

€8.99 ~~€32.99~~

Total € 83.98

€41.99

Total € 83.98

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daincredibleholg May 05, 2015

I got the Learning Hadoop 2 eBook and was really positively surprised. The author gives a great overview and inside view of the Hadoop ecosystem.The book is targeted on software and system developers but I am pretty sure it will also help technical architects to understand the main concepts.The author found a great balance between giving an introduction, pointing to the main differences between Hadoop 1 and 2 and then going straight into a lot of coding examples which are all available on GitHub.Another nice thing about this book is that it gives a nice overview of frameworks and tools like Hadoop, Samza and Pig. So the main ecosystem should be covered with just one book and the reader can then decide which topic is worth to go deeper next.

Amazon Verified review

PJG Apr 29, 2015

This book is a thorough guide to Hadoop 2, and has a lot of detail packed in to it's 382 pages. As part of Packt's "learning" series, I was pleasantly surprised by the amount of depth here: the book covers a lot of essential material - details of HDFS, a quick description of variouscloud-based services that offer Hadoop, sentiment analysis (going significantly the now quite tired canonical example of word counting in documents), YARN, Tez, ZooKeeper, Pig... It is really quite impressive and I think this would be helpful for anyone looking for a clear guide to Hadoop - not just people specifically interested in moving from Hadoop 1.The final chapters have some topics that are of particular interest, such as an extended discussion of managing the data lifecycle (with some code examples using Oozie and Avro), and Hadoop cluster basics, both of which are nice additions and differentiate the book somewhat from it's competitors (Hadoop books represent a crowded market these days it seems!). Recommended if you are seekingsomething that is practically-oriented to bridge the gap before "Hadoop: The Definitive Guide".

Alexander Helf May 04, 2015

When looking for a book about Hadoop one may find "Learning Hadoop 2". This the the successor of "Hadoop Beginner's Guide" from the same author and focuses on Hadoop version 2.Even without the knowledge of the previous Hadoop version you get a quick overview about the history and the core features.The middle of the book contains some technology chapters (streaming, programming, SQL) which use the same example to show the different aspects. With a basic Java knowhow the code is easy to understand (but I did not executed the code).The main focus of the book is the developing part but with the last chapters the reader get some idea how a Hadoop system is created and running.To me the most valuable part is that you get a guide what the different frameworks on top of Hadoop do!But as always there are parts which could have been better.The first thing is that the book (released 2015) uses version 2.2 from 2013. This may not be a problem but checking the examples with a newer version and updating the intro may be helpful.The second point is the "dual" approach with a local installation and the infos about running the code on the cloud. At first this looks very interesting but in the end I think this may be better placed as an appendix.ButConclusion: If you want to get an overview or a good introduction what "Hadoop" (and the related frameworks) means this may be the right book.

Douglas Almquist Jan 04, 2016

This book has no publication date, no information about it, no reviews... nothing.Why would anyone buy it?

Learning Hadoop 2: Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2

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