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| Manning Early Access Program |
| Making Sense of NoSQL A guide for managers and the rest of us  Dan McCreary and Ann Kelly MEAP Began: August 2012 Softbound print: July 2013 (est.) | 300 pages ISBN: 9781617291074 |
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Table of Contents, MEAP Chapters & Resources
| Table of Contents | Resources |
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PART 1: INTRODUCTION
1: NoSQL: It's about making intelligent choices - FREE 2: NoSQL concepts - AVAILABLE PART 2: NOSQL ARCHITECTURAL PATTERNS 3: Foundational data architecture patterns - AVAILABLE 4: NoSQL data architecture patterns - AVAILABLE 5: Native XML databases - AVAILABLE PART 3: NOSQL SOLUTIONS 6: Using NoSQL to manage Big Data - AVAILABLE 7: Finding information with NoSQL search - AVAILABLE 8: Building high availability solutions with NoSQL - AVAILABLE 9: Increasing agility with NoSQL - AVAILABLE PART 4: ADVANCED TOPICS 10: NoSQL and functional programming - AVAILABLE 11: Security: protecting data in your NoSQL systems - AVAILABLE 12: Selecting the right NoSQL solution - AVAILABLE |
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DESCRIPTION
The term "NoSQL" defines a wide range of database technologies that offer alternatives to the traditional RDBMS. NoSQL tools like MongoDB, Neo4j, HBase, and Redis take innovative approaches to the unique problems of handling data in modern distributed and web-based systems. With the promise of lowering cost, increasing performance, and improving the ability to scale, there are plenty of good reasons to explore this new generation of agile data solutions.
Making Sense of NoSQL is a great place to start. It clearly and concisely explains the concepts, features, benefits, potential, and limitations of NoSQL technologies. Using examples and use cases, illustrations, and plain, jargon-free writing, this guide shows how you can effectively assemble a NoSQL solution to replace or augment the traditional RDBMS you have now.
The book begins with a quick review of database concepts alongside the new NoSQL patterns. Then, you'll explore case studies on Big Data, search, reliability and business adaptability to understand how these new patterns apply to today's business problems. You'll also see how NoSQL systems can leverage the resources of modern cloud computing and large CPU-count data centers. The final chapters show you how to choose the right NoSQL technologies for your specific business problems.
As you read, you'll explore trends like
- The increasing interest in big data systems
- Movement to clusters of commodity computers
- The need for flexible document oriented structures
- Movement toward open source systems
- Cost effectively managing RAM and solid state drives
- Using cloud technologies to best advantage
This book introduces the technology, vocabulary, and business case for NoSQL. While it's not a programmer's how-to guide and assumes little technical knowledge, developers will welcome this lucid overview of the possible uses and capabilities of NoSQL technologies.
About the Authors
Ann Kelly and Dan McCreary are cofounders of an independent training and consultancy firm focused on NoSQL solutions. Ann is a developer and project manager with over 20 years experience in the computer and insurance industries. Dan came to NoSQL after years in the supercomputing industry, including time at Bell Labs and NeXT. He is cofounder of the NoSQL Now! Conference.
About the Early Access Version
This Early Access version of Making Sense of NoSQL enables you to receive new chapters as they are being written. You can also interact with the authors to ask questions, provide feedback and errata, and help shape the final manuscript on the Author Online
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