Book Image

SQL Server 2017 Integration Services Cookbook

By : Christian Cote, Dejan Sarka, David Peter Hansen, Matija Lah, Samuel Lester, Christo Olivier
Book Image

SQL Server 2017 Integration Services Cookbook

By: Christian Cote, Dejan Sarka, David Peter Hansen, Matija Lah, Samuel Lester, Christo Olivier

Overview of this book

SQL Server Integration Services is a tool that facilitates data extraction, consolidation, and loading options (ETL), SQL Server coding enhancements, data warehousing, and customizations. With the help of the recipes in this book, you’ll gain complete hands-on experience of SSIS 2017 as well as the 2016 new features, design and development improvements including SCD, Tuning, and Customizations. At the start, you’ll learn to install and set up SSIS as well other SQL Server resources to make optimal use of this Business Intelligence tools. We’ll begin by taking you through the new features in SSIS 2016/2017 and implementing the necessary features to get a modern scalable ETL solution that fits the modern data warehouse. Through the course of chapters, you will learn how to design and build SSIS data warehouses packages using SQL Server Data Tools. Additionally, you’ll learn to develop SSIS packages designed to maintain a data warehouse using the Data Flow and other control flow tasks. You’ll also be demonstrated many recipes on cleansing data and how to get the end result after applying different transformations. Some real-world scenarios that you might face are also covered and how to handle various issues that you might face when designing your packages. At the end of this book, you’ll get to know all the key concepts to perform data integration and transformation. You’ll have explored on-premises Big Data integration processes to create a classic data warehouse, and will know how to extend the toolbox with custom tasks and transforms.
Table of Contents (18 chapters)
Title Page
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

SSIS projects


This section will now focus on the SSIS projects that move the data from various locations. There are several SSIS projects in the solution:

  • ETL.Staging: This contains SSIS packages that transfer data from AdventreWorksLT to the Staging schema in AdventureWorksLTDW2016
  • ETL.DW: This contains packages that transfer and transform data from the Staging schema to the DW schema in AdventureWorksLTDW2016

We'll have recipes in this section that will explain how the packages are structured and how we'll deploy and run them to load data from the source database to the data warehouse.

There are two types of SSIS packages in the projects:

  • Entry-point packages: These packages orchestrate the Extract, Transform, and Load (ETL) flow of the solution. It's in these packages that other packages call and in what order they are called. In the solution, there's only one entry-point package per project.
  • Regular (child) packages: These packages are doing the ETL work, that is, extracting the data from...