Get brand new Hadoop E-Book for 0.99 cent instead of 5$


I’ve created a new E-Book providing an Overview on the Hadoop technology. The usual price is 4.99 USD but is available until the end of the week for only 0.99 cent, which is a massive discount for early buyers. The E-Book gives an overview of Hadoop projects and is intended to those that need to get started fast with Hadoop. It focuses on explaining the technology stack rather than explaining details about each technology itself.

From the cover:

Kick Start: Hadoop is an e-book on the Hadoop Technology. The focus of the kick start series is to provide a very fast entry into a new technology. This e-book is useful if you need to build up knowledge on Hadoop within hours and don’t want to spend weeks learning the content. The e-book is useful for consultants, managers, trainers, students and sales staff, that need an overview of all Hadoop technologies but don’t need to understand the technical details. This book is all about get you started fast without the need to spend days or even weeks on trying to understand the technology.

From the Index:

1 Introduction
1.1 Overview on Big Data
1.2 What is Hadoop and why is it important for Big Data?
1.3 The Hadoop Stack
2 Cluster Management with Hadoop
2.1 Apache Ambari
2.2 ZooKeeper
2.3 Oozie
3 Infrastructure and Support
3.1 The Hadoop File System (HDFS)
3.2 Hadoop Commons
3.3 Apache Yarn
4 Storing Data with Hadoop
4.1 HBase
4.2 Accumulo
4.3 Other Databases
5 Accessing Data with Hadoop
5.1 MapReduce for Native Data Access
5.2 SQL Tools in Hadoop with Apache Hive and Apache HCatalog
5.3 Scripting Data with Apache Pig
5.4 Accessing Streaming Data with Apache Storm
5.5 Accessing Real-Time Data with Apache S4
5.6 Graph Data in Hadoop with Apache Giraph and Tez
6 Data Science in Hadoop with Apache Mahout
7 Data Governance and Data Integration In Hadoop
7.1 Apache Falcon
7.2 Apache Flume
7.3 Apache Sqoop
7.4 Apache Avro
8 User Interface in Hadoop with Apache Hue

You can obtain the E-Book on Amazon for Kindle here:

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Published by

Mario Meir-Huber

I work as Big Data Architect for Microsoft. With this role, I support my customers in applying Big Data technologies - mainly Hadoop/Spark - for their use-cases. I also teach this topic at various universities and frequently speak at various Conferences. In 2010 I wrote a book about Cloud Computing, which is often used at German & Austrian Universities. In my home country (Austria) I am part of several organisations on Big Data.

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