Title
Hbase: The Definitive Guide: Random Access To Your Planetsize Data
Delivery time: 8-12 business days (International)
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 Youre Evaluating This Nonrelational 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 Hbases Architecture, Including The Storage Format, Writeahead 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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Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What is the main focus of 'HBase: The Definitive Guide'? A: The book primarily focuses on using Apache HBase as a scalable storage solution for managing large datasets, detailing its architecture and integration with Hadoop.
- Q: Who is the author of this book? A: The book is authored by Lars George, a recognized expert in HBase and related technologies.
- Q: What can I learn about HBase from this book? A: You can learn about HBase's architecture, including its storage format and background processes, as well as practical tasks like tuning clusters and designing schemas.
- Q: Is this book suitable for beginners? A: Yes, the book is suitable for both beginners and experienced IT professionals looking to understand HBase and its applications.
- Q: What is the publication date of this book? A: The book was published on October 18, 2011.
- Q: How many pages does 'HBase: The Definitive Guide' have? A: The book contains a total of 552 pages.
- Q: What type of binding does this book have? A: The book is available in paperback binding.
- Q: Does this book cover integration with Hadoop? A: Yes, it provides insights on how to integrate HBase with Hadoop's MapReduce framework for data processing.
- Q: What topics are addressed regarding HBase performance? A: The book discusses HBase's performance in terms of read and write capabilities, as well as tuning clusters to optimize performance.
- Q: Is this book a good resource for evaluating HBase for business use? A: Yes, it offers meaningful insights and answers for IT executives evaluating HBase for practical implementation in business environments.