HADOOP IN ACTION BOOK PDF
Recognizing the importance of preserving what has been written, it is Manning's policy to have the books we publish printed on acid-free paper, and we exert. In the four years after the publication of Hadoop in Action, interest in and In Hadoop in Action, 2nd Edition, we have deeply revised the original book to cover . You can see this entire book for free. Click any part of the this edition is free when you purchase Hadoop in Action, Second Edition. A guide for beginners.
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Hadoop in Action, Second Edition, provides a comprehensive introduction to The book expands on the first edition by enhancing coverage of important. MapReduce, a topic which the book Hadoop in Action by Chuck Lam by Vinod Kumar Vavilapalli et al., ppti.info~garth//papers/ppti.info to think MapReduce, a topic which the book Hadoop in Action by Chuck Lam ( Man- See ppti.info~jignesh/publ/ppti.info Repartition .
This book provides step-by-step instructions and examples that will take you from just beginning to use Hadoop to running complex applications on large clusters of machines.
Download: Pro Hadoop 2.
Programming Pig This book is an ideal learning reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. This book introduces the new users to pig and gives the advanced users, comprehensive coverage on key features such as, Pig Latin scripting Language, the Grunt shelland User Defined Functions for extending Pig.
By referring this book, you can easily analyze the terabytes of the data. Download: Programming Pig 3. Along with these it also covers, Hadoop security, running Hadoop with Amazon Web Services, best practices, and automating Hadoop processes in real time.
With in-depth code examples in Java and XML and the latest on recent additions to the Hadoop ecosystem, this complete resource also covers the use of APIs, exposing their inner workings and allowing architects and developers to better leverage and customize them.
Download: Professional Hadoop Solutions 4. Apache sqoop cookbook This book is a user guide for using Apache Sqoop. This book focuses on applying the parameters provided by Command Line Interface, on common use cases to help one use Sqoop.
Download: Apache sqoop cookbook 5. The book starts in a simple manner, but still provides in-depth knowledge of Hadoop.
2. Programming Pig
It is a simple one-stop guide on how to get things done. It has 90 recipes, presented in a simple and straightforward manner, with step-by-step instructions and real world examples. Apache Zookeeper. Yet Another Resource Negotiator. Starting Hadoop 2.
The building blocks of Hadoop 2. Setting up SSH for a Hadoop cluster 2. Define a common account. Distribute public key and validate logins. Running Hadoop 2. Local standalone mode.
Running Hadoop in the cloud 2. Introducing Amazon Web Services. Securing the Hadoop Platform 3.
Hadoop Security Weaknesses 3. Top 10 Security and Privacy Challenges in Hadoop. Additional Security Weaknesses. Hadoop Threat Model 3. Challenges and Threats in Hadoop Security. Hadoop Security Framework 3. Data Management.
Threat Modeling. Getting and Installing Kerberos. Application Level Cryptography Tokenization, field-level encryption.
Network Security 3. Threat Model. Threat Model Development.
Components of Hadoop 4. Working with files in HDFS 4. Basic file commands.
Reading and writing to HDFS programmatically. Anatomy of a MapReduce program 4.
Hadoop data types. Word counting with predefined mapper and reducer classes. Reading and writing 4.
Writing basic MapReduce programs 5. Getting the patent data set 5.
10+1 Best Hadoop Books For Beginners
The patent citation data. Constructing the basic template of a MapReduce program 5. MapReduce v1 and v2. Streaming in Hadoop 5. Streaming with Unix commands.
Streaming with the Aggregate package. Improving performance with combiners. Exercising what you've learned. Programming practices 7. Developing MapReduce programs 7. Local mode.
Pseudo-distributed or Single Node Cluster mode. Monitoring and debugging on a production cluster 7. Rerunning failed tasks with IsolationRunner. Tuning for performance 7. Reducing network traffic with combiner. Reducing the amount of input data.Robert I.
Part 1: HadoopA Distributed Programming Framework
Don't refresh or navigate away from the page. Threat Model Development. Running Hadoop in the cloud 9. About the reader This book requires basic Java skills. HBase in Action.