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Lars George

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Hbase: The Definitive Guide: Random Access to Your Planet-Size Data ペーパーバック – イラスト付き, 2011/10/18

英語版 Lars George (著)

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If you're looking for a scalable storage solution to accommodate a virtually endless amount of data, this book shows you how Apache HBase can fulfill your needs. As the open source implementation of Google's BigTable architecture, HBase scales to billions of rows and millions of columns, while ensuring that write and read performance remain constant. Many IT executives are asking pointed questions about HBase. This book provides meaningful answers, whether you're evaluating this non-relational database or planning to put it into practice right away.

Discover how tight integration with Hadoop makes scalability with HBase easier
Distribute large datasets across an inexpensive cluster of commodity servers
Access HBase with native Java clients, or with gateway servers providing REST, Avro, or Thrift APIs
Get details on HBase's architecture, including the storage format, write-ahead log, background processes, and more
Integrate HBase with Hadoop's MapReduce framework for massively parallelized data processing jobs
Learn how to tune clusters, design schemas, copy tables, import bulk data, decommission nodes, and many other tasks

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本の長さ

552ページ
言語

英語
出版社

O'Reilly Media
発売日

2011/10/18
寸法

17.78 x 2.97 x 23.34 cm
ISBN-10

1449396100
ISBN-13

978-1449396107
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著者について

Lars George has been involved with HBase since 2007, and became a full HBase committer in 2009. He has spoken at various Hadoop User Group meetings, as well as large conferences such as FOSDEM in Brussels. He also started the Munich OpenHUG meetings. He now works closely with Cloudera to support Hadoop and HBase in and around Europe through technical support, consulting work, and training.

登録情報

出版社 ‏ : ‎ O'Reilly Media; Illustrated版 (2011/10/18)
発売日 ‏ : ‎ 2011/10/18
言語 ‏ : ‎ 英語
ペーパーバック ‏ : ‎ 552ページ
ISBN-10 ‏ : ‎ 1449396100
ISBN-13 ‏ : ‎ 978-1449396107
寸法 ‏ : ‎ 17.78 x 2.97 x 23.34 cm

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Zwykyn
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2021年11月10日にドイツでレビュー済み
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Fehlerhafte Version mit Beipack der Erratas.

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Munesh kumar
Five Stars
2016年10月1日にインドでレビュー済み
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Nice product

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thalassa
ammazing
2014年4月9日に英国でレビュー済み
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As I wish, a quick delivery and good product as requested. Well done job, always I will use and recommend this seller.

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EG
Wide scope and deep coverage by the "Ask Tom" of HBase
2012年5月5日にアメリカ合衆国でレビュー済み
Amazonで購入
This text is amongst the few books I have read in my career which not only serves as a great introduction to a technology, but also provides significant content for both advanced users and those who wish to understand what is under the covers in order to understand both benefits and drawbacks before making a decision in terms of adoption. While I was not familiar with the author, Lars George, until reading this text, the foreward to what the author shares here offers some street cred. "Of all those who have contributed to HBase over the years, it is poetic justice that Lars is the one to write this book. Lars was always dogging HBase contributors that the documentation needed to be better if we hoped to gain broader adoption. Everyone agreed, nodded their heads in ascent, amen'd, and went back to coding. So Lars started writing critical how-tos and architectural descriptions inbetween jobs and his intra-European travels as unofficial HBase European ambassador. His Lineland blogs on HBase gave the best description, outside of the source, of how HBase worked, and at a few critical junctures, carried the community across awkward transitions (e.g. an important blog explained the labyrinthian HBase build during the brief period we thought an Ivy-based build to be a 'good idea'). His luscious diagrams were poached by one and all wherever an HBase presentation was given."

At least one other reviewer here commented that it was hard for them to understand the purpose of this book, because of its broad scope. But in my opinion its broad scope is what makes it so valuable, at least to the architect. The potential reader just needs to keep in mind that they need to understand what they wish to gain from reading a text on HBase. For example, if the potential reader simply wants to understand how to use the APIs that HBase provides, there may be no need to understand HBase architecture and so the chapters that the author provides on related material may not be applicable at the outset. It is difficult to argue for a sequential reading of this text from beginning to end, although the potential reader also needs to keep in mind the importance of minimal understanding of the programmatic connections with the architecture, in which case a cursory overview of some of the more advanced material is highly recommended. In contrast, as an architect who wants to understand as many of the benefits, drawbacks, and implementation details as possible, especially when considering my extensive experience with relational databases such as Oracle, I appreciate all of the detail that George has to offer here, and would not have it any other way. While I have not yet reviewed his blog yet to any great extent, based on his street cred and the abundance of material in this book, I do not think it is a stretch to akin him to Tom Kyte of "Ask Tom" fame within the Oracle space.

After an introduction that provides discussions on big data, column-oriented databases, problems with relational database systems, nonrelational database systems, and an HBase architectural overview (all within Chapter 1), George quickly moves forward to a chapter on HBase installation (Chapter 2), followed by discussions of native Java APIs (Chapters 3, 4, and 5), available clients (Chapter 6), and integration with Hadoop's MapReduce framework (Chapter 7). The remainder of the text delves into more advanced topics, beginning with HBase architecture (Chapter 8), followed by design topics critical to taking full advantage of HBase architecture (Chapter 9), as well as discussions on cluster monitoring (Chapter 10), performance tuning (chapter 11), and cluster administration (chapter 12). As a general rule, George does a great job at introducing topics in an order that makes sense without frequently referring to chapters later in the book, which is a pet peeve of mine with other technical books. One of the many aspects I especially appreciated about this text is that even in chapters that cover content that might be seen as high-level content by other architects, George is not afraid to get down in the trenches at the programmatic level, even in the preface to the book, in which the author explains how to build the examples that he provides in his Git repository.

Please be aware that even though the author discusses features such as coprocessors that have been included in subsequent releases (at the time of writing this review, version 0.92.1 has been made available as a stable release), the author does make note in Chapter 2 that "the current version of HBase will only run on Hadoop 0.20.x. It will not run on Hadoop 0.21.x (nor 0.22.x) as of this writing. HBase may lose data in a catastrophic event unless it is running on an HDFS that has durable sync support. Hadoop 0.20.2 and Hadoop 0.20.203.0 do not have this support. Currently, only the branch-0.20-append branch has this attribute. No official releases have been made from this branch up to now, so you will have to build your own Hadoop from the tip of this branch." The author does bring up the fact that Cloudera's CDH3 has already applied the patches associated with durable sync, if building Hadoop is not your cup of tea, but keep in mind that Cloudera as of less than two weeks ago has already released CDH4 Beta 2. Anyone interested in HBase needs to keep in mind that this space is moving along quickly, so plan to get started with this book and move forward with the abundant material that is increasingly being made available online. That said, George provides a wealth of knowledge that I do not expect to be surpassed at any time in the foreseeable future by any other publication.

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Jose Antonio Garcia Varela
Brillante
2013年1月3日にスペインでレビュー済み
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Este libro es una buena continuación de otro de la misma editorial "Hadoop The definitive Guide". Me ha sido de gran utilidad

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