Joe Celko’s Complete Guide to NoSQL, 1st Edition

  • Published By:
  • ISBN-10: 0124072208
  • ISBN-13: 9780124072206
  • DDC: 005.75
  • Grade Level Range: College Freshman - College Senior
  • 244 Pages | eBook
  • Original Copyright 2013 | Published/Released June 2014
  • This publication's content originally published in print form: 2013

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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.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
About the Author.
1: Introduction.
2: NoSQL and Transaction Processing.
3: Columnar Databases.
4: Graph Databases.
5: Mapreduce Model.
6: Streaming Databases and Complex Events.
7: Key–Value Stores.
8: Textbases.
9: Geographical Data.
10: Big Data and Cloud Computing.
11: Biometrics, Fingerprints, and Specialized Databases.
12: Analytic Databases.
13: Multivalued or NFNF Databases.
14: Hierarchical and Network Database Systems.