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

Profiling data with SSIS


The objective of this task is to work with SSIS to profile the data to find the potentially wrong values. In this exercise, you will create an SSIS package with a single task, the data profiling task. Then you will execute the package to profile a set of data. Finally, you will check the results with the data profile viewer application.

Getting ready

You need to have installed the AdventureWorkDW2014 demo database for this exercise.

You can download the full database backup ZIP file Adventure Works DW 2014 Full Database Backup.zip from this link: https://msftdbprodsamples.codeplex.com/releases . In addition, the backup file is provided with the source code for this book. Assuming that you copied the AdventureWorksDW2014.bak file to the C:\SSIS2016Cookbook folder, you can use SQL Server Management Studio (SSMS) to execute the following command to restore the database:

USE master; 
RESTORE DATABASE AdventureWorksDW2014 
 FROM  DISK = N'C:\SSIS2016Cookbook\AdventureWorksDW2014...