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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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Matija Lah Matija Lah
Author Profile Icon Matija Lah
Matija Lah
Christo Olivier Christo Olivier
Author Profile Icon Christo Olivier
Christo Olivier
Christian Cote Christian Cote
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Christian Cote
Dejan Sarka Dejan Sarka
Author Profile Icon Dejan Sarka
Dejan Sarka
David Peter Hansen David Peter Hansen
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David Peter Hansen
Samuel Lester Samuel Lester
Author Profile Icon Samuel Lester
Samuel Lester
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Toc

Table of Contents (12) Chapters Close

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

Preface

SQL Server Integration Services is a tool that facilitates data extraction, consolidation, and loading options (ETL), SQL Server coding enhancements, data warehousing, and customizations. With the help of the recipes in this book, you'll gain hands-on experience of SSIS 2017 as well as the new 2016 features, design and development improvements including SCD, tuning, and customizations. At the start, you'll learn to install and set up SSIS as well other SQL Server resources to make optimal use of this business intelligence tool. We'll begin by taking you through the new features in SSIS 2016/2017 and implementing the necessary features to get a modern scalable ETL solution that fits the modern data warehouse. Through the course of the book, you will learn how to design and build SSIS data warehouses packages using SQL Server Data Tools. Additionally, you'll learn how to develop SSIS packages designed to maintain a data warehouse using the data flow and other control flow tasks. You'll also go through many recipes on cleansing data and how to get the end result after applying different transformations. Some real-world scenarios that you might face are also covered and how to handle various issues that you might face when designing your packages. At the end of this book, you'll get to know all the key concepts to perform data integration and transformation. You'll have explored on-premises big data integration processes to create a classic data warehouse, and will know how to extend the toolbox with custom tasks and transforms.

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