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ETL with Azure Cookbook

You're reading from  ETL with Azure Cookbook

Product type Book
Published in Sep 2020
Publisher Packt
ISBN-13 9781800203310
Pages 446 pages
Edition 1st Edition
Languages
Concepts
Authors (3):
Christian Cote Christian Cote
Profile icon Christian Cote
Matija Lah Matija Lah
Profile icon Matija Lah
Madina Saitakhmetova Madina Saitakhmetova
Profile icon Madina Saitakhmetova
View More author details
Toc

Table of Contents (12) Chapters close

Preface 1. Chapter 1: Getting Started with Azure and SSIS 2019 2. Chapter 2: Introducing ETL 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

Copying data from the internet

This recipe will teach you how we can connect to a data source from a public internet URL. We're going to use demographic income Status of Income (SOI) data from the Internal Revenue Service (IRS). We will explore and transform this data with our Databricks workspace environment.

We will get data from the following links:

  • https://www.irs.gov/pub/irs-soi/17zpallnoagi.csv: This is a CSV file that contains the year 2017 incomes per state per zip code.
  • https://worldpopulationreview.com/static/states/abbr-name.csv: This CSV file contains state abbreviations (codes) and state names.

The first file contains income data and state codes. We will use the second file to augment the first one with state names. We will also aggregate the state income file to get one state income per state instead of zip code.

Getting ready

This recipe assumes that you have access to an Azure subscription. It can be a free trial one as described in...

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