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HBase: The Definitive Guide: Random Access to Your Planet-Size Data - GOOD
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A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See the seller’s listing for full details and description of any imperfections.
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- Buy It NowHBase: The Definitive Guide: Random Access to Your Planet-Size Data - GOOD
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Item specifics
- Condition
- Brand
- Unbranded
- Book Title
- HBase: The Definitive Guide: Random Access to Your Planet-Size D
- MPN
- Does not apply
- ISBN
- 9781449396107
About this product
Product Identifiers
Publisher
O'reilly Media, Incorporated
ISBN-10
1449396100
ISBN-13
9781449396107
eBay Product ID (ePID)
99547873
Product Key Features
Number of Pages
554 Pages
Publication Name
Hbase: the Definitive Guide : Random Access to Your Planet-Size Data
Language
English
Subject
Data Modeling & Design, Databases / Data Warehousing, Databases / Data Mining, Databases / General
Publication Year
2011
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Height
1.2 in
Item Weight
33.1 Oz
Item Length
9.3 in
Item Width
7.7 in
Additional Product Features
Intended Audience
Scholarly & Professional
Illustrated
Yes
Table Of Content
Foreword;Preface; General Information; Conventions Used in This Book; Using Code Examples; Safari® Books Online; How to Contact Us; Acknowledgments;Chapter 1: Introduction; 1.1 The Dawn of Big Data; 1.2 The Problem with Relational Database Systems; 1.3 Nonrelational Database Systems, Not-Only SQL or NoSQL?; 1.4 Building Blocks; 1.5 HBase: The Hadoop Database;Chapter 2: Installation; 2.1 Quick-Start Guide; 2.2 Requirements; 2.3 Filesystems for HBase; 2.4 Installation Choices; 2.5 Run Modes; 2.6 Configuration; 2.7 Deployment; 2.8 Operating a Cluster;Chapter 3: Client API: The Basics; 3.1 General Notes; 3.2 CRUD Operations; 3.3 Batch Operations; 3.4 Row Locks; 3.5 Scans; 3.6 Miscellaneous Features;Chapter 4: Client API: Advanced Features; 4.1 Filters; 4.2 Counters; 4.3 Coprocessors; 4.4 HTablePool; 4.5 Connection Handling;Chapter 5: Client API: Administrative Features; 5.1 Schema Definition; 5.2 HBaseAdmin;Chapter 6: Available Clients; 6.1 Introduction to REST, Thrift, and Avro; 6.2 Interactive Clients; 6.3 Batch Clients; 6.4 Shell; 6.5 Web-based UI;Chapter 7: MapReduce Integration; 7.1 Framework; 7.2 MapReduce over HBase;Chapter 8: Architecture; 8.1 Seek Versus Transfer; 8.2 Storage; 8.3 Write-Ahead Log; 8.4 Read Path; 8.5 Region Lookups; 8.6 The Region Life Cycle; 8.7 ZooKeeper; 8.8 Replication;Chapter 9: Advanced Usage; 9.1 Key Design; 9.2 Advanced Schemas; 9.3 Secondary Indexes; 9.4 Search Integration; 9.5 Transactions; 9.6 Bloom Filters; 9.7 Versioning;Chapter 10: Cluster Monitoring; 10.1 Introduction; 10.2 The Metrics Framework; 10.3 Ganglia; 10.4 JMX; 10.5 Nagios;Chapter 11: Performance Tuning; 11.1 Garbage Collection Tuning; 11.2 Memstore-Local Allocation Buffer; 11.3 Compression; 11.4 Optimizing Splits and Compactions; 11.5 Load Balancing; 11.6 Merging Regions; 11.7 Client API: Best Practices; 11.8 Configuration; 11.9 Load Tests;Chapter 12: Cluster Administration; 12.1 Operational Tasks; 12.2 Data Tasks; 12.3 Additional Tasks; 12.4 Changing Logging Levels; 12.5 Troubleshooting;HBase Configuration Properties;Road Map; HBase 0.92.0; HBase 0.94.0;Upgrade from Previous Releases; Upgrading to HBase 0.90.x; Upgrading to HBase 0.92.0;Distributions; Cloudera's Distribution Including Apache Hadoop;Hush SQL Schema;HBase Versus Bigtable;Colophon;
Synopsis
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, HBase is the open-source implementation of Google's BigTablearchitecture. It strives to scale to billions of rows andmillions of columns, all distributed across an inexpensivecluster of commodity servers. HBase's primary storage systemis HDFS, Hadoop's distributed and replicated file system. Inaddition HBase has a native interface to Hadoop's Map Reduceframework which allows for easy development and subsequentexecution of batch jobs that can scan entire tables. HBasefits into a new category of database systems oftensummarized under the term "NoSQL" - or non-relationaldatabases. While there are quite a few system that comprisethe term they often only overlap marginally or have nothingin common but the fact that they abandon traditional modelsfound in relational database system (RDBMS) for specializedarchitectures that are built to solve a specific problem.For HBase this is storing a virtually endless amount of datawhile ensuring that write and read performance staysconstant, no matter how large the dataset is., HBase is the open-source implementation of Google's BigTablearchitecture. It strives to scale to billions of rows andmillions of columns, all distributed across an inexpensivecluster of commodity servers. HBase's primary storage systemis HDFS, Hadoop's distributed and replicated file system. Inaddition HBase has a native interface to ......
LC Classification Number
QA76.9.D3
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- x***l- Feedback left by buyer.Past monthVerified purchaseI had a positive experience with this seller. I did receive an incorrect item in my package, but when I reached out to the seller about the problem, they responded in a timely manner and resolved the issue. Items were packaged in a bag but arrived in good condition as described. I am very happy with the condition of the books I received. Great value. I have already placed additional orders with this seller. Thank you!
- 4***e (46)- Feedback left by buyer.Past 6 monthsVerified purchaseHad issues with product, but seller was exceedingly graceful about the situation. The shipping speed & packaging was excellent. The value of product was expected for price, but description wasn’t quite accurate. With swift communication, the seller maneuvered the conversation in a very controlled way. Very professional! In all honesty, I will have no problem buying again from this seller. Thank you, SecondSalecom! I pray you continue to improve on your already good business practices.
- 5***t (1692)- Feedback left by buyer.Past monthVerified purchaseI must say from the very beginning of this transaction that everything went smooth. The seller gave me a good quality product for a great price that was brand new and appeared to be better than what was pictured. I plan on purchasing more products in the near future from this seller. The product was shipped and packaged with care and love. Magnificent communication and all of what I said makes this seller a great asset to the eBay community as well as the marketplace. This is why I came back.