Microsoft Visual Basic Database Design Cover
 

Microsoft Visual Basic Database Development

Microsoft Visual Basic Database Design

This is an electronic book (ebook) that teaches the fundamental techniques of designing and developing databases using the Microsoft Visual Basic programming environment. The ebook starts with file-based applications using collection classes and serialization. It follows with XML development. To formally introduce databases, there are a few lessons on the concept of a data set. The rest of the ebook focuses on ADO.NET with database development using Microsoft SQL Server.

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Table of Contents

Part I: Databases Fundamentals Part V: Microsoft SQL Server and ADO.NET
1.    Introduction to Databases 22. Introduction to Microsoft SQL Server
2.    Serialization 23. Introduction to ADO.NET
3.    File-Based Databases Part VI: SQL and Transact-SQL
Part II: Collections 24. Introduction to SQL
4.    Introduction to Collections 25. Operations on SQL Variables
5.    Built-In Collection Classes 26. SQL Expressions
6.    Dictionary-Based Collections 27. Introduction to SQL Functions
Part III: XML 28. A Review of Built-In SQL Functions
7.    Introduction to XML Part VII: Database Development With ADO.NET
8.    Introduction to XML Elements 29. The Tables of a Database
9.    Operations on XML Elements 30. The Records of a Database
10.  Maintenance of XML Elements 31. Assistance With Data Entry II
11. The Attributes of XML Elements 32. Introduction ADO.NET Visual Tools
12. Types of Nodes of an XML Document 33. Introduction to Data Selection
13. XML Reading and Writing 34. The Data Adapter
Part IV: Data Sets 35. Sorting and Filtering Records
14. The Data Grid View 36. Operations on Data Selection
15. Introduction to Data Sets and Tables 37. Relationships and Data Integrity
16. The Columns of a Table 38. Data Binding
17. The Records of a Table 39. Data Joins
18. Assistance With Data Entry I 40. Views
19. Data Relationships 41. Stored Procedures
20. Records Maintenance 42. Techniques of Commanding a Database
21. The Data View
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