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Applied Architecture Patterns on the Microsoft Platform

You're reading from   Applied Architecture Patterns on the Microsoft Platform An in-depth scenario-driven approach to architecting systems using Microsoft technologies

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Product type Paperback
Published in Sep 2010
Publisher Packt
ISBN-13 9781849680547
Length 544 pages
Edition 1st Edition
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Toc

Table of Contents (26) Chapters Close

Applied Architecture Patterns on the Microsoft Platform
Credits
Foreword
About the Authors
About the Reviewer
1. Preface
1. Solution Decision Framework 2. Windows Communication Foundation and Windows Workflow 4.0 Primer FREE CHAPTER 3. Windows Server AppFabric Primer 4. BizTalk Server Primer 5. SQL Server and Data Integration Tools Primer 6. Windows Azure Platform Primer 7. Simple Workflow 8. Content-based Routing 9. Publish-Subscribe 10. Repair/Resubmit with Human Workflow 11. Remote Message Broadcasting 12. Debatching Bulk Data 13. Complex Event Processing 14. Cross-Organizational Supply Chain 15. Multiple Master Synchronization 16. Rapid Flexible Scalability 17. Low-Latency Request-Reply 18. Handling Large Session and Reference Data 19. Website Load Burst and Failover 20. Wrap Up

Building the solution


This section outlines the construction of a proof-of-concept application that will implement the functionality required for this application. The details of data warehousing, OLAP, and data security each would require large, detailed books in and of themselves. At a minimum, we would suggest you consider studying the following topics:

  • Partitioning strategies for data storage and loading

  • Compression strategies

  • Transparent data encryption

  • Data access auditing for PID

  • Multi-dimensional data structures

  • Encryption strategies for data in motion

  • SAN and physical infrastructure design

From a very high level (and shown below), we will be taking data already encrypted on the source system using agreed upon encryption algorithms, decrypting it, debatching it, and loading it into our database, or, as an alternative, loading it into a staging table then debatching it using SQL:

Encryption

We are dealing with people's credit card numbers so we must encrypt this data, particularly if we...

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