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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
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Matija Lah
Christo Olivier Christo Olivier
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Christo Olivier
Christian Cote Christian Cote
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Christian Cote
Dejan Sarka Dejan Sarka
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Dejan Sarka
David Peter Hansen David Peter Hansen
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David Peter Hansen
Samuel Lester Samuel Lester
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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

Introduction


Data warehouse architects are facing the need to integrate many types of data. Cloud data integration can be a real challenge for on-premises data warehouses for the following reasons:

  • The data sources are obviously not stored on-premises and the data stores differ a lot from what ETL tools such as SSIS are usually made for. As we saw earlier, the out-of-the-box SSIS toolbox has sources, destinations, and transformation tools that deal with on-premises data only.
  • The data transformation toolset is quite different to the cloud one. In the cloud, we don't necessarily use SSIS to transform data. There are specific data transformation languages such as Hive and Pig that are used by the cloud developers. The reason for this is that the volume of data may be huge and these languages are running on clusters. as opposed to SSIS, which is running on a single machine.

While there are many cloud-based solutions on the market, the recipes in this chapter will talk about the Microsoft Azure...

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