Joe Celko’s Complete Guide to NoSQL: What Every SQL Professional Needs to Know about Non-Relational Databases
Autor Joe Celkoen Limba Engleză Paperback – 27 noi 2013
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.
- Gain a complete understanding of the situations in which SQL has more drawbacks than benefits so that you can better determine when to utilize NoSQL technologies for maximum benefit
- Recognize the pros and cons of columnar, streaming, and graph databases
- Make the transition to NoSQL with the expert guidance of best-selling SQL expert Joe Celko
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Specificații
ISBN-13: 9780124071926
ISBN-10: 0124071929
Pagini: 244
Ilustrații: 22 illustrations
Dimensiuni: 191 x 235 x 8 mm
Greutate: 0.5 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0124071929
Pagini: 244
Ilustrații: 22 illustrations
Dimensiuni: 191 x 235 x 8 mm
Greutate: 0.5 kg
Editura: ELSEVIER SCIENCE
Public țintă
Database ProgrammersCuprins
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
Recenzii
"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