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ETL with Azure Cookbook

You're reading from   ETL with Azure Cookbook Practical recipes for building modern ETL solutions to load and transform data from any source

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Product type Paperback
Published in Sep 2020
Publisher Packt
ISBN-13 9781800203310
Length 446 pages
Edition 1st Edition
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Authors (3):
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Christian Cote Christian Cote
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Christian Cote
Matija Lah Matija Lah
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Matija Lah
Madina Saitakhmetova Madina Saitakhmetova
Author Profile Icon Madina Saitakhmetova
Madina Saitakhmetova
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Table of Contents (12) Chapters Close

Preface 1. Chapter 1: Getting Started with Azure and SSIS 2019 2. Chapter 2: Introducing ETL FREE CHAPTER 3. Chapter 3: Creating and Using SQL Server 2019 Big Data Clusters 4. Chapter 4: Azure Data Integration 5. Chapter 5: Extending SSIS with Custom Tasks and Transformations 6. Chapter 6: Azure Data Factory 7. Chapter 7: Azure Databricks 8. Chapter 8: SSIS Migration Strategies 9. Chapter 9: Profiling data in Azure 10. Chapter 10: Manage SSIS and Azure Data Factory with Biml 11. Other Books You May Enjoy

Loading multiple files using Data Factory

We are going to use BIMLStudio 2019 to build a more elaborate solution. Let's say we want to load a set of files available online into our on-premises SQL Server database. We want to use the data from these files to do reports by joining them with on-premises data. In this recipe, we will look at creating a Data Factory solution that loads a set of data files in parallel from the website FiveThirtyEight.com into Azure Data Lake Storage Gen2, and then into an on-premises SQL Server database. FiveThirtyEight.com is a data journalism organization that provides opinions and analysis on politics, economics, and sport, based on data science and analytics. The site provides access to a collection of datasets easily available for download. For our recipe, we will be downloading a set of CSV files containing statistical weather data, such as actual temperature, maximum temperature, minimum temperature, and levels of precipitation for every city...

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