List of Tables

Chapter 1. NoSQL: It’s about making intelligent choices

Table 1.1. Types of NoSQL data stores—the four main categories of NoSQL systems, and sample products for each data store type

Table 1.2. The key case studies associated with the NoSQL movement—the name of the case study/standard, the business drivers, and the results (findings) of the selected solutions

Chapter 3. Foundational data architecture patterns

Table 3.1. RDBMS strengths and weaknesses—you can see that RDBMSs were driven by early financial systems that stored data in tables. The pros and cons of RDBMSs drive the need to have consistent and secure reporting over a large number of tables.

Table 3.2. Sample of RDBMS column types for MySQL. Each column in an RDBMS is assigned one type. Trying to add data that doesn’t contain the correct data type will result in an error.

Table 3.3. A comparison of OLTP and OLAP systems

Chapter 4. NoSQL data architecture patterns

Table 4.1. NoSQL data architecture patterns—the most important patterns introduced by the NoSQL movement, brief descriptions, and examples of where these patterns are typically used

Chapter 5. Native XML databases

Table 5.1. XML standards. Application portability between native XML systems is highly sensitive to the standards each database implements. Note that not all standards are published by the W3C.