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The Easy, Common-Sense Guide to Solving Real Problems with NoSQL
The Mere Mortals® tutorials have earned worldwide praise as the clearest, simplest way to master essential database technologies. Now, there’s one for today’s exciting new NoSQL databases. NoSQL for Mere Mortals guides you through solving real problems with NoSQL and achieving unprecedented scalability, cost efficiency, flexibility, and availability.
Drawing on 20+ years of cutting-edge database experience, Dan Sullivan explains the advantages, use cases, and terminology associated with all four main categories of NoSQL databases: key-value, document, column family, and graph databases. For each, he introduces pragmatic best practices for building high-value applications. Through step-by-step examples, you’ll discover how to choose the right database for each task, and use it the right way.
--Getting started: What NoSQL databases are, how they differ from relational databases, when to use them, and when not to Data management principles and design criteria: Essential knowledge for creating any database solution, NoSQL or relational
--Key-value databases: Gaining more utility from data structures
--Document databases: Schemaless databases, normalization and denormalization, mutable documents, indexing, and design patterns
--Column family databases: Google’s BigTable design, table design, indexing, partitioning, and Big Data
Graph databases: Graph/network modeling, design tips, query methods, and traps to avoid
Whether you’re a database developer, data modeler, database user, or student, learning NoSQL can open up immense new opportunities. As thousands of database professionals already know, For Mere Mortals is the fastest, easiest route to mastery.
These files contain a summary document, a directory with example scripts, and a directory with links to guides and tutorials on 4 popular NoSQL databases. Download files here.
Please visit the author's site here.
Download the sample pages (includes Chapter 8 and Index)
PART I: INTRODUCTION 1
Chapter 1 Different Databases for Different Requirements 3
Relational Database Design 4
E-commerce Application 5
Early Database Management Systems 6
Flat File Data Management Systems 7
Organization of Flat File Data Management Systems 7
Random Access of Data 9
Limitations of Flat File Data Management Systems 9
Hierarchical Data Model Systems 12
Organization of Hierarchical Data Management Systems 12
Limitations of Hierarchical Data Management Systems 14
Network Data Management Systems 14
Organization of Network Data Management Systems 15
Limitations of Network Data Management Systems 17
Summary of Early Database Management Systems 17
The Relational Database Revolution 19
Relational Database Management Systems 19
Organization of Relational Database Management Systems 20
Organization of Applications Using Relational Database Management Systems 26
Limitations of Relational Databases 27
Motivations for Not Just/No SQL (NoSQL) Databases 29
Case Study 35
Review Questions 36
Chapter 2 Variety of NoSQL Databases 39
Data Management with Distributed Databases 41
Store Data Persistently 41
Maintain Data Consistency 42
Ensure Data Availability 44
Consistency of Database Transactions 47
Availability and Consistency in Distributed Databases 48
Balancing Response Times, Consistency, and Durability 49
Consistency, Availability, and Partitioning: The CAP Theorem 51
ACID and BASE 54
ACID: Atomicity, Consistency, Isolation, and Durability 54
BASE: Basically Available, Soft State, Eventually Consistent 56
Types of Eventual Consistency 57
Casual Consistency 57