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SQL Server 2017 Integration Services Cookbook

You're reading from   SQL Server 2017 Integration Services Cookbook Powerful ETL techniques to load and transform data from almost any source

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781786461827
Length 558 pages
Edition 1st Edition
Languages
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Authors (6):
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Dejan Sarka Dejan Sarka
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Dejan Sarka
 Lah Lah
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Lah
David Peter Hansen David Peter Hansen
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David Peter Hansen
Samuel Lester Samuel Lester
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Samuel Lester
 Olivier Olivier
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Olivier
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Toc

Table of Contents (18) Chapters Close

Title Page
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. SSIS Setup FREE CHAPTER 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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