Database-Related

If you�ve installed it, launch your C# compiler/IDE. Next, open the project you want to add MySQL support to. Now, go to the Project menu => Add Reference. Under the .NET tab look for MySQL.Data under �Component Name.� Click �OK� and were are ready to start coding.

Learn from ebook and well commented source codes, the easy way to use MySQL with C#. In addition to the ebook, this package contains a real world .NET program that allows you to manage a collection of MySQL and C# programming tips and tricks. This program implements C# codes that show you how to add new records, edit existing records, delete selected records and search for specific records. Included with both the demo version and the full version is a SQL file of sample data for you to import into a MySQL server. The sample data contains several common MySQL and C# programming references.

Would you like to know how to create MySQL client applications using Visual C++ with MySQL++ class library? What is MySQL? The MySQL database server is the world's most popular open source database. Its MySQL++ C++ class library allows you to easily create clients that accesses the database, either on a local computer, LAN or the Internet. If you are looking for a full example source code for a complete MFC C++ program that uses the MySQL++ class library to access a MySQL database, then this package is for you.

Would you like to know how to create MySQL client applications using Visual C++ with MySQL C API? What is MySQL? The MySQL database server is the world's most popular open source database. Its C API allows you to easily create clients that accesses the database, either on a local computer, LAN or the Internet. If you are looking for a full example source code for a complete MFC C++ program that uses the MySQL C API to access a MySQL database, then this package is for you.

This free training covers all the topics you need to learn in order to become master in MSAS along with the screen shots and sample code with step by step instructions. Please visit the site for the details on the topcs covered. Introduction to Data Warehousing and OLAP, Introducing Data Warehousing, Introducing Analysis Manager Wizards, Understanding Analysis Services Architecture, Building Dimensions Using the Dimension Editor, Using Advanced Dimension Settings, Working with Cubes and Measures, Managing Storage and Optimization, Processing Dimensions and Cubes. Managing Partitions, Implementing Calculations Using MDX, Working with Virtual Cubes, Using Actions, Drillthrough and Writeback, and Implementing Security.