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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

Concepts

Database Administration

Authors (6):

Christian Cote

Dejan Sarka

David Peter Hansen

Matija Lah

Samuel Lester

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

Using SSIS fuzzy components

SSIS includes two really sophisticated matching transformations in the data flow. The fuzzy lookup transformation is used for mapping the identities. The fuzzy grouping transformation is used for de-duplicating. Both of them use the same algorithm for comparing the strings and other data.

Identity mapping and de-duplication are actually the same problem. For example, instead for mapping the identities of entities in two tables, you can union all of the data in a single table and then do the de-duplication. Or vice versa, you can join a table to itself and then do identity mapping instead of de-duplication. This recipe shows how to use the fuzzy lookup transformation for identity mapping.

Getting ready

This recipe assumes that you have successfully finished the previous recipe.

How to do it...

In SSMS, create a new table in the DQS_STAGING_DATA database in the dbo schema and name it dbo.FuzzyMatchingResults. Use the following code:

CREATE TABLE dbo.FuzzyMatchingResults...

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Authors (6)

Christian Cote

Christian Cote is an IT professional with more than 15 years of experience working in a data warehouse, Big Data, and business intelligence projects. Christian developed expertise in data warehousing and data lakes over the years and designed many ETL/BI processes using a range of tools on multiple platforms. He's been presenting at several conferences and code camps. He currently co-leads the SQL Server PASS chapter. He is also a Microsoft Data Platform Most Valuable Professional (MVP).

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Dejan Sarka

Dejan Sarka, MCT and Microsoft Data Platform MVP, is an independent trainer and consultant who focuses on the development of database and business intelligence applications. He is the founder of the Slovenian SQL Server and .NET Users Group.

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David Peter Hansen

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Matija Lah

Matija Lah has more than 18 years of experience working with Microsoft SQL Server, mostly from architecting data-centric solutions in the legal domain. His contributions to the SQL Server community have led to him being awarded the MVP Professional award (Data Platform) between 2007 and 2017/2018. He spends most of his time on projects involving advanced information management and natural language processing, but often finds time to speak at events related to Microsoft SQL Server where he loves to share his experience with the SQL Server platform.

See other products by Matija Lah

Samuel Lester

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Christo Olivier

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