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
About the Authors
About the Reviewers
Customer Feedback

Creating a DQS knowledge base

A DQS KB is the place where you store the knowledge about the data and the cleansing in order to speed up the regular cleansing process. In a real-life scenario, you constantly add knowledge to the KB, and thus improve the cleansing process over time. In this recipe, you will create a basic DQS KB.

Getting ready

For this recipe, you will need DQS and Data Quality Client installed. Please refer to the following link to learn how to install the DQS components: .

You also need to prepare the data you will use to create a DQS KB. In SSMS, execute the following code:

USE AdventureWorksDW2014;
City, StateProvinceName AS StateProvince,
EnglishCountryRegionName AS CountryRegion
INTO dbo.AWCitiesStatesCountries
FROM dbo.DimGeography;

How to do it...

  1. Open the Data Quality Client application and connect to your DQS instance.
  2. In the Knowledge Base Management...