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Product details
File Size: 20118 KB
Print Length: 400 pages
Simultaneous Device Usage: Unlimited
Publisher: O'Reilly Media; 1 edition (June 30, 2015)
Publication Date: June 30, 2015
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B010ORQ8BS
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Amazon Best Sellers Rank:
#483,557 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
Wow, this is an impressive book on Hadoop. The content is rich and comprehensive. Normally, I'd expect to read 3-4 books to cover the same amount of material. It reads well and the chapters are methodically laid out. Kudos to the authors for crafting such a well written book.
I bought this book because it was the only one that I could find that touched on data modeling in hadoop. Most of the materials I've read on hadoop focus solely ok the tooling and give little if any advice on how to structure your data - when to denormalize, when not to and what to do about those expensive joins. This book touched on that although I would have preferred that not being in chapter 9. So far a good read, I've not finished the book but I love the fact that they give rationale for using specific tools for specific jobs.
This book was exactly what I needed: Well-organized, easy to find what I need when "emergency" questions are arising, but also thorough enough to give me a decent start on the path to actually understanding not just WHAT to do, but WHY to do it like "this" instead of "that."
Well written guide that distinguishes how deep you are involved, enhances your insight whatever the emtry level in Hadoop was. Some of the suggestions on tools are getting already outdated with time running since book release, but basics still hold true.
a really good book to advance career in Big Data systems.
This book is great for getting your bearings with respect to the major functions of Hadoop, and the components that serve those functions. The examples are well thought-out and subtleties are pointed out and discussed.
Very much satisfied with the quality of the product.
Hi,I have written a detailed chapter-by-chapter review of this book on[...], the first and last parts of this review are given here. For my review of all chapters, search i-programmer DOT info for STIRK together with the book's title.This book aims to provide best practices and example architectures for Hadoop technologists, how does it fare?This book is written for developers and architects that are already familiar with Hadoop, who wish to learn some of the current best practices, example architectures and complete implementations. It assumes some existing knowledge of Hadoop and its components (e.g. Flume, HBase, Pig, and Hive). Book references are provided for those needing topic refreshers. Additionally, it’s assumed you are familiar with Java programming, SQL and relational databases. It consists of two sections, the first of which has seven chapters and looks at factors that influence application architectures. The second consists of three chapters, each providing a complete end-to-end case study.Below is a chapter-by-chapter exploration of the topics covered.Section I Architectural Considerations for Hadoop ApplicationsChapter 1 Data Modeling in HadoopThe chapter opens with a look at storage considerations. Various file types are discussed, and the importance of spilltable compressed data highlighted. Avro and Parquet are generally the preferred file formats for row and columnar based storage respectively.The chapter continues with at look at factors to consider when storing data in HDFS. Directory structures are recommended (e.g. /users/
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