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Joe Celko’s Complete Guide to NoSQL
What Every SQL Professional Needs to Know about Non-Relational Databases

This overview of non-relational technologies from best-selling SQL guru Joe Celko will help SQL professionals comprehend where, when, and why the benefits of NoSQL outweigh those of SQL, and illustrates how to shift gears to make the most of non-relational databases.

Joe Celko (Author)

9780124071926, Elsevier Science

Paperback, published 28 November 2013

244 pages, 22 illustrations
23.4 x 19 x 1.6 cm, 0.51 kg

"The book summarizes various NoSQL topics to acquaint readers with both old and new data management issues outside the realm of the relational framework… I found it thought provoking and believe that it has a place on the data manager’s bookshelf." --ComputingReviews.com, March 4, 2014

Joe Celko's Complete Guide to NoSQL provides a complete overview of non-relational technologies so that you can become more nimble to meet the needs of your organization. As data continues to explode and grow more complex, SQL is becoming less useful for querying data and extracting meaning. In this new world of bigger and faster data, you will need to leverage non-relational technologies to get the most out of the information you have. Learn where, when, and why the benefits of NoSQL outweigh those of SQL with Joe Celko's Complete Guide to NoSQL.

This book covers three areas that make today's new data different from the data of the past: velocity, volume and variety. When information is changing faster than you can collect and query it, it simply cannot be treated the same as static data. Celko will help you understand velocity, to equip you with the tools to drink from a fire hose. Old storage and access models do not work for big data. Celko will help you understand volume, as well as different ways to store and access data such as petabytes and exabytes. Not all data can fit into a relational model, including genetic data, semantic data, and data generated by social networks. Celko will help you understand variety, as well as the alternative storage, query, and management frameworks needed by certain kinds of data.

Chapter 1. NoSQL and Transaction ProcessingChapter 2. Columnar DatabasesChapter 3. Graph DatabasesChapter 4. The MapReduce Model Chapter 5. Streaming Databases and Complex EventsChapter 6. Key-Value Stores Chapter 7. Textbases Chapter 8.Geographical Data (GIS) Chapter 9. NoSQL Taxonomy? Steven Yen's Model with examples

Subject Areas: Databases [UN]

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