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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

Matija Lah

Madina Saitakhmetova

View More author details

Table of Contents (12) Chapters

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

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Moving and transforming data

We copied data in our storage account in the previous recipe, Copying data from the internet. In this recipe, we will join and transform the two datasets using a mapping data flow. They contain many tools that help us join, map, and aggregate our source datasets to produce another output (sink) dataset.

Mapping dataflows are a new addition for Data Factory. They were not part of the initial Data Factory v2 that was available in July 2018. The ADF team added the mapping data flows about a year later. For those who are familiar with SSIS, they will understand how to work with them in no time.

So, let's dig into our recipe!

Getting ready

This recipe assumes that you have access to an Azure subscription. It can be a free trial one as described in the recipe Creating an Azure subscription, in Chapter 1, Getting Started with Azure and SSIS 2019. It also assumes that you have created some Data Factory artifacts such as linked services, datasets...

The rest of the chapter is locked

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Authors (3)

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

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

Madina Saitakhmetova

Madina Saitakhmetova is a developer specializing in BI. She has been in IT for 15 years, working first with Microsoft SQL, .Net Framework, and then Microsoft BI, BIML and Azure. Her adventure with Microsoft BI began with Analysis Services and SSIS, but she is leaning towards ETL development, both on premises and in the cloud, in later years. Finding patterns, automating processes and making BI team work more efficient are challenges that drive her. During past few years, BIML has become an important part of her work, increasing efficiency and quality

See other products by Madina Saitakhmetova

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