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Mastering SQL Server 2017

You're reading from  Mastering SQL Server 2017

Product type Book
Published in Aug 2019
Publisher Packt
ISBN-13 9781838983208
Pages pages
Edition 1st Edition
Languages
Concepts
Authors (5):
Miloš Radivojević Miloš Radivojević
Profile icon Miloš Radivojević
Dejan Sarka Dejan Sarka
Profile icon Dejan Sarka
William Durkin William Durkin
Profile icon William Durkin
Christian Cote Christian Cote
Profile icon Christian Cote
Matija Lah Matija Lah
Profile icon Matija Lah
View More author details
Toc

Table of Contents (20) Chapters close

Title Page
Copyright Contributors About Packt Preface 1. Introduction to SQL Server 2017 2. SQL Server Tools 3. JSON Support in SQL Server 4. Stretch Database 5. Temporal Tables 6. Columnstore Indexes 7. SSIS Setup 8. What Is New in SSIS 2016 9. Key Components of a Modern ETL Solution 10. Dealing with Data Quality 11. Unleash the Power of SSIS Script Task and Component 12. On-Premises and Azure Big Data Integration 13. Extending SSIS Custom Tasks and Transformations 14. Scale Out with SSIS 2017 1. Other Books You May Enjoy

Matching with DQS

Often, you need to match entities without having a common identification. For example, you might get data about customers from two different sources. Then you need to do the matching based on similarity of attributes, for example, names and addresses. Matching is a very complex task. In SQL Server, DQS is one of the tools that can help you with this task.

Getting ready

In order to test the DQS matching, you need to prepare some data. The following section contains a lot of code; therefore, you might want to use the code provided in the book's companion content.

First, you need to prepare a table with clean data. In SSMS, execute the following code:

-- Preparing the clean data table
USE DQS_STAGING_DATA;
CREATE...
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