Joe Celko’s Complete Guide to NoSQL - 1st Edition - ISBN: 9780124071926, 9780124072206

Joe Celko’s Complete Guide to NoSQL

1st Edition

What Every SQL Professional Needs to Know about Non-Relational Databases

Authors: Joe Celko
eBook ISBN: 9780124072206
Paperback ISBN: 9780124071926
Imprint: Morgan Kaufmann
Published Date: 17th October 2013
Page Count: 244
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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.

Key Features

  • 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


Database Programmers

Table of Contents


About the Author


Chapter 1. NoSQL and Transaction Processing



1.1 Databases Transaction Processing in the Batch Processing World

1.2 Transaction Processing in the Disk Processing World

1.3 ACID

1.4 Pessimistic Concurrency in Detail

1.5 CAP Theorem

1.6 BASE

1.7 Server-side Consistency

1.8 Error Handling

1.9 Why SQL Does Not Work Here

Concluding Thoughts


Chapter 2. Columnar Databases



2.1 History

2.2 How It Works

2.3 Query Optimizations

2.4 Multiple Users and Hardware

2.5 Doing an ALTER Statement

2.6 Data Warehouses and Columnar Databases

Concluding Thoughts


Chapter 3. Graph Databases



3.1 Graph Theory Basics

3.2 RDBMS Versus Graph Database

3.3 Six Degrees of Kevin Bacon Problem

3.4 Vertex Covering

3.5 Graph Programming Tools

Concluding Thoughts


Chapter 4. MapReduce Model



4.1 Hadoop Distributed File System

4.2 Query Languages

Concluding Thoughts


Chapter 5. Streaming Databases and Complex Events



5.1 Generational Concurrency Models

5.2 Complex Event Processing

5.3 Commercial Products

Concluding Thoughts


Chapter 6. Key–Value Stores



6.1 Schema Versus no Schema

6.2 Query Versus Retrieval

6.3 Handling Keys

6.4 Handling Values

6.5 Products

Concluding Thoughts

Chapter 7. Textbases



7.1 Classic Document Ma


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© Morgan Kaufmann 2014
Morgan Kaufmann
eBook ISBN:
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About the Author

Joe Celko

Joe Celko

Joe Celko served 10 years on ANSI/ISO SQL Standards Committee and contributed to the SQL-89 and SQL-92 Standards.

Mr. Celko is author a series of books on SQL and RDBMS for Elsevier/MKP. He is an independent consultant based in Austin, Texas.

He has written over 1200 columns in the computer trade and academic press, mostly dealing with data and databases.

Affiliations and Expertise

Independent Consultant, Austin, Texas


"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.", March 4, 2014

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