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SQL Server 2017 Integration Services Cookbook

You're reading from  SQL Server 2017 Integration Services Cookbook

Product type Book
Published in Jun 2017
Publisher Packt
ISBN-13 9781786461827
Pages 558 pages
Edition 1st Edition
Languages
Authors (6):
Christian Cote Christian Cote
Profile icon Christian Cote
Dejan Sarka Dejan Sarka
Profile icon Dejan Sarka
David Peter Hansen David Peter Hansen
Profile icon David Peter Hansen
Matija Lah Matija Lah
Profile icon Matija Lah
Samuel Lester Samuel Lester
Profile icon Samuel Lester
Christo Olivier Christo Olivier
Profile icon Christo Olivier
View More author details

Table of Contents (18) Chapters

Title Page
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. SSIS Setup 2. What Is New in SSIS 2016 3. Key Components of a Modern ETL Solution 4. Data Warehouse Loading Techniques 5. Dealing with Data Quality 6. SSIS Performance and Scalability 7. Unleash the Power of SSIS Script Task and Component 8. SSIS and Advanced Analytics 9. On-Premises and Azure Big Data Integration 10. Extending SSIS Custom Tasks and Transformations 11. Scale Out with SSIS 2017

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 TABLE dbo.CustomersClean
(
CustomerKey INT NOT NULL PRIMARY KEY,\
FullName NVARCHAR(200) NULL,
StreetAddress NVARCHAR(200) NULL
);
GO
-- Populating the clean data table
INSERT INTO dbo.CustomersClean
(CustomerKey, FullName, StreetAddress)
SELECT CustomerKey,
FirstName...
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