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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

Deploying the target database

We'll now deploy the data warehouse database that is called AdventureWorksLTDW2016.

Getting ready

This recipe assumes that you have access to the sample solution that is available for this book and you have read and executed all the steps to deploy the source database.

How to do it...

The steps will be essentially similar to the ones used to deploy the source database. Since we explained most of the steps previously, this recipe will be more concise:

The DB.AdventureWorksDW project contains the following schemas:
- Cube: This contains specific database objects, mainly views that can be used by an SSAS cube.
- dbo: This the default schema.
- DW: This folder contains database objects that belong to the DW schema, that is, the data warehouse star schema objects.
- Scripts: This is a folder that holds pre or post-deployment scripts, as well as utility scripts.
- Staging: This folder contains database objects used by the Staging schema.
- SystemLog: This folder contains database objects...

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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

See other products by David Peter Hansen

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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