Book Image

Mastering SQL Server 2017

By : Miloš Radivojević, Dejan Sarka, William Durkin, Christian Cote, Matija Lah
Book Image

Mastering SQL Server 2017

By: Miloš Radivojević, Dejan Sarka, William Durkin, Christian Cote, Matija Lah

Overview of this book

Microsoft SQL Server 2017 uses the power of R and Python for machine learning and containerization-based deployment on Windows and Linux. By learning how to use the features of SQL Server 2017 effectively, you can build scalable apps and easily perform data integration and transformation. You’ll start by brushing up on the features of SQL Server 2017. This Learning Path will then demonstrate how you can use Query Store, columnstore indexes, and In-Memory OLTP in your apps. You'll also learn to integrate Python code in SQL Server and graph database implementations for development and testing. Next, you'll get up to speed with designing and building SQL Server Integration Services (SSIS) data warehouse packages using SQL server data tools. Toward the concluding chapters, you’ll discover how to develop SSIS packages designed to maintain a data warehouse using the data flow and other control flow tasks. By the end of this Learning Path, you'll be equipped with the skills you need to design efficient, high-performance database applications with confidence. This Learning Path includes content from the following Packt books: SQL Server 2017 Developer's Guide by Miloš Radivojevi?, Dejan Sarka, et. al SQL Server 2017 Integration Services Cookbook by Christian Cote, Dejan Sarka, et. al
Table of Contents (20 chapters)
Title Page
Free Chapter
1
Introduction to SQL Server 2017

Designing a custom transformation

To design a Custom Data Flow Component, you need to create a .NET assembly based on the Class Library Visual Studio template; the class with the component's definition must be derived from the PipelineComponent base class of the Microsoft.SqlServer.Dts.Pipeline namespace. The class also needs to implement the DtsPipelineComponentAttribute that allows the class to be identified as an SSIS component and to provide the essential properties of the component used in the development of SSIS data flows.

If you want to simplify the configuration of the component, you can provide a custom graphical user interface; otherwise, the Advanced Transformation Editor will be used to configure the component during SSIS package development.

The component also needs access to the interfaces and classes of the Microsoft.SqlServer.Dts.Pipeline.Wrapper namespace...