SSDT Workshop @ SQL Bits X (2012-03-29)Gert Drapers
Mastering SSDT with the DataDude
This is your chance to hear the real story behind SSDT, directly from the man who built it. SQL Server Data Tools is effectively the 3rd version of the DataDude project, started in 2005 by Gert Drapers. SQL Server Data Tools (SSDT) lets you develop, test, and maintain SQL Server and SQL Azure databases offline on your desktop. SSDT's modern T-SQL development environment supports declarative model-driven development whether working connected or offline, and integrates with Visual Studio's project and application lifecycle management tools to enable team development and source code control support for SQL Server and SQL Azure databases.
This master class will get you started using SSDT; provides you with the architectural ins and outs of schema management using SSDT; team oriented database development and leveraging the command line and programmatic interfaces that accompany SSDT for importing, comparing and deploying database schemas. Learn it from the DataDude himself.
SQL Server Data Tools (SSDT) is a set of tools and services that integrate with Visual Studio to enable developers to work with SQL Server and SQL Azure databases directly from within Visual Studio. SSDT allows developers to manage database development lifecycles through features like schema comparison, data synchronization, edition and version targeting, and refactoring. SSDT uses DACPAC and BACPAC files to package and deploy database schemas and data between environments.
Managing database project with Visual Studio SSDT and TFSHarry Zheng
This document summarizes a presentation on managing database projects with Visual Studio, SSDT and TFS. The presentation agenda includes: 1) Evolution of SSDT, 2) Creating a database project, 3) Building and deploying the project, 4) Checking the project into TFS, 5) Managing changes with SSDT and TFS, 6) Seeding reference data, and 7) Database unit testing and deployment packaging. The document provides details on these topics and examples of creating and working with a sample database project.
Microsoft SQL Server Data Warehouses for SQL Server DBAsMark Kromer
The document discusses Microsoft SQL Server data warehousing solutions. It provides an agenda for a presentation that includes an overview of Microsoft's data warehousing offerings, how to establish baseline metrics for Fast Track reference configurations, and how to design balanced server and storage configurations for data warehousing workloads. It also discusses software and hardware best practices, such as data striping and storage configuration recommendations. Overall, the document outlines topics and solutions to help customers accelerate their data warehouse deployments using Microsoft SQL Server.
The document discusses building a data warehouse in SQL Server. It provides an agenda that covers topics like an overview of data warehousing, data warehouse design, dimension and fact tables, and physical design. It also discusses components of a data warehousing solution like the data warehouse database, ETL processes, and security considerations.
SSDT Workshop @ SQL Bits X (2012-03-29)Gert Drapers
Mastering SSDT with the DataDude
This is your chance to hear the real story behind SSDT, directly from the man who built it. SQL Server Data Tools is effectively the 3rd version of the DataDude project, started in 2005 by Gert Drapers. SQL Server Data Tools (SSDT) lets you develop, test, and maintain SQL Server and SQL Azure databases offline on your desktop. SSDT's modern T-SQL development environment supports declarative model-driven development whether working connected or offline, and integrates with Visual Studio's project and application lifecycle management tools to enable team development and source code control support for SQL Server and SQL Azure databases.
This master class will get you started using SSDT; provides you with the architectural ins and outs of schema management using SSDT; team oriented database development and leveraging the command line and programmatic interfaces that accompany SSDT for importing, comparing and deploying database schemas. Learn it from the DataDude himself.
SQL Server Data Tools (SSDT) is a set of tools and services that integrate with Visual Studio to enable developers to work with SQL Server and SQL Azure databases directly from within Visual Studio. SSDT allows developers to manage database development lifecycles through features like schema comparison, data synchronization, edition and version targeting, and refactoring. SSDT uses DACPAC and BACPAC files to package and deploy database schemas and data between environments.
Managing database project with Visual Studio SSDT and TFSHarry Zheng
This document summarizes a presentation on managing database projects with Visual Studio, SSDT and TFS. The presentation agenda includes: 1) Evolution of SSDT, 2) Creating a database project, 3) Building and deploying the project, 4) Checking the project into TFS, 5) Managing changes with SSDT and TFS, 6) Seeding reference data, and 7) Database unit testing and deployment packaging. The document provides details on these topics and examples of creating and working with a sample database project.
Microsoft SQL Server Data Warehouses for SQL Server DBAsMark Kromer
The document discusses Microsoft SQL Server data warehousing solutions. It provides an agenda for a presentation that includes an overview of Microsoft's data warehousing offerings, how to establish baseline metrics for Fast Track reference configurations, and how to design balanced server and storage configurations for data warehousing workloads. It also discusses software and hardware best practices, such as data striping and storage configuration recommendations. Overall, the document outlines topics and solutions to help customers accelerate their data warehouse deployments using Microsoft SQL Server.
The document discusses building a data warehouse in SQL Server. It provides an agenda that covers topics like an overview of data warehousing, data warehouse design, dimension and fact tables, and physical design. It also discusses components of a data warehousing solution like the data warehouse database, ETL processes, and security considerations.