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Data Patterns
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- Cover
- Copyright
- Contents
- + Preface
- + Chapter 1: Data Patterns
- + Chapter 2: Organizing Patterns
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+
Chapter 3: Data Movement Patterns
- Architecture: Data Movement Root Patterns
- Architecture: Move Copy of Data Approaches
- Design and Implementation: Data Replication Patterns
- Data Replication Deployment
- Data Movement Patterns
- + Move Copy of Data
- + Data Replication
- + Master-Master Replication
- + Master-Slave Replication
- + Master-Master Row-Level Synchronization
- + Master- Slave Snapshot Replication
- + Capture Transaction Details
- + Master-Slave Transactional Incremental Replication
- + Implementing Master-Master Row-Level Synchronization Using SQL Server
- + Implementing Master-Slave Snapshot Replication Using SQL Server
- + Implementing Master-Slave Transactional Incremental Replication Using SQL Server
- + Master-Slave Cascading Replication
- Appendix A: Patterns and Pattlets
- + Glossary
- Additional Resources
Get expert guidance on using patterns to expedite the design and development of data services in an enterprise business solution. Patterns provide a common vocabulary and taxonomy for database designers, developers, and architects to describe solutions concisely. Each pattern contains a simple mechanism for solving a commonly recurring technical challenge and enables the reuse of key architectural, design, and implementation decisions. While each pattern can be understood and applied alone, you can also combine these patterns together to simplify the development of complex systems.
Software design professionals have increasingly recognized the value of patterns as a language for sharing design experiences and improving the reliability and productivity of their solutions. This book embraces and extends the work of the growing patterns community by showing how to use patterns to solve data problems within the enterprise with Microsoft products and technologies. These patterns address the need to create the database designs and the data services that exist invisibly to the applications that use the data; in other words, the data and services that exist within the data ecosystem. This reference contains a catalog of 12 data patterns, including examples of implementations that use Microsoft SQL Server. All PATTERNS & PRACTICES guides are reviewed and approved by Microsoft engineering teams, consultants, partners, and customers--delivering accurate, real-world information that's been technically validated and tested.
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Book Details
Authors
Categories
Computers > Software development & engineering > Systems Analysis & Design
Publishers
Publication year : 2011
License: All rights reserved ©
Times read: 110
