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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

Loading the data warehouse using the framework

This section of the chapter will focus on data warehouse refresh types. The recipes we'll be working through will show you how data is usually refreshed in a data warehouse. This section will basically cover the following topics:

Full historical load: This type of loading technique is usually used once to initialize the data warehouses when they are empty
Incremental loads: This only loads changes in the source into the data warehouse
Near real-time loads (on demand): This is usually used to refresh specific tables with the latest changes for reporting

This recipe will show how the data warehouse loads data in batches. The load programs (SSIS packages) are triggered via a schedule. You'll see that all the packages use the framework to filter the data loaded into the staging. This is the basis of the incremental load that we're going to implement in the data warehouse packages.

Getting ready

This section assumes you have downloaded the solution files...

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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).

See other products by Christian Cote

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.

See other products by Dejan Sarka

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

See other products by Samuel Lester

Christo Olivier

See other products by Christo Olivier

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