With the fourth edition of this comprehensive guide, you'll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book. First Edition. O'Reilly Media, Inc. Hadoop: The Definitive Guide, the image of an African .. collateral/analyst-reports/forfindsebullperf.tk). Contribute to Farheen/hadoop-project development by creating an account on GitHub.
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The 3rd edition actually covered both Hadoop 1 based on the JobTracker and Hadoop 2 based on YARN , which made things a bit awkward at times since it flipped between the two and had to describe the differences.
Only Hadoop 2 is covered in the 4th edition, which simplifies things considerably. The YARN material has been expanded and now has a whole chapter devoted to it.
This update is the biggest since the 1st edition, and in response to reader feedback, I reorganized the chapters to simplify the flow. The new edition is broken into parts I.
Hadoop Fundamentals, II. MapReduce, III.
Hadoop Operations, IV. Related Projects, V. Case Studies , and includes a diagram to show possible pathways through the book on p. The book is aimed primarily at users doing data processing, so in this edition I added two new chapters about processing frameworks Apache Spark and Apache Crunch , one on data formats Apache Parquet, incubating at this writing and one on data ingestion Apache Flume. These ideas provide the foundation for learning how components covered in later chapters take advantage of these features.
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. 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.
Hadoop: The Definitive Guide, 2nd Edition This comprehensive guide shows you how to build and maintain reliable, scalable, distributed systems with Hadoop framework. Programmers will find details for analyzing the datasets of any size and administrators will learn how to set up and run Hadoop Clusters.
Based on those changes, what do you want readers to learn? These ideas provide the foundation for learning how components covered in later chapters take advantage of these features. I think the two main things that readers want from a book like this are: 1 good examples for each component, and 2 an explanation of how the component in question works.
Examples are important since they are concrete and allow readers to start using and exploring the system. In addition, a good mental model is important for understanding how the system works so users can reason about it, and extend the examples to cover their own use cases. It took me so long to understand what I was writing about that I knew how to write in a way most readers would understand.
I spend a lot of time writing small examples to test how different aspects of the component work.
A few of these are turned into examples for the book. I also spend a lot of time reading JIRAs to understand the motivation for features, their design, and how they relate to other features. Their feedback has undoubtedly improved the book.