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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

Configuring SSIS for scale out executions

We'll now configure the SSIS catalog and workers to be able to use scale out executions with SSIS.

Getting ready

This recipe assumes that you've installed SQL Server 2017, SSIS in scale out mode as well as SSMS 17.1 or later.

How to do it...

Open SQL Server Management Studio and connect to the newly installed SQL Server 2017 instance.
In the Object Explorer, right-click on the Integration Services Catalogs node and select Create Catalog.
The Create Catalog window appears. As shown in the following screenshot, check the Enable this server as SSIS scale out master option as well as providing a password for the catalog. Click on OK when finished.

Still in SSMS, run the following SQL statements. The first statement lists the workers available. Copy the WorkerAgentId into the clipboard by right-clicking on the value in the grid and select Copy. Type the second SQL statement and use the clipboard's content as parameter (the grayed-out shape in the screenshot...

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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.

Read more

See other products by Matija Lah

Samuel Lester

See other products by Samuel Lester

Christo Olivier

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