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Hands-On Data Warehousing with Azure Data Factory

You're reading from   Hands-On Data Warehousing with Azure Data Factory ETL techniques to load and transform data from various sources, both on-premises and on cloud

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781789137620
Length 284 pages
Edition 1st Edition
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Authors (3):
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Christian Cote Christian Cote
Author Profile Icon Christian Cote
Christian Cote
Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
Michelle Gutzait Michelle Gutzait
Author Profile Icon Michelle Gutzait
Michelle Gutzait
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What this book covers

Chapter 1, The Modern Data Warehouse, teaches us the various storage options available in Microsoft Azure that will help us to set up our Azure factory.

Chapter 2, Getting Started with Our First Data Factory, uses the data factory to move data from Azure SQL to Azure storage.

Chapter 3, SSIS Lift and Shift, digs further into the various services available in Azure, as well as how we can integrate an existing SSIS solution into the factory.

 Chapter 4, Azure Data Lake, primarily focuses on the components of the Azure Data Lake and provides a basic implementation of those components.

 Chapter 5, Machine Learning on the Cloud, recognizes the different machine learning algorithms and the tools that Microsoft Azure Machine Learning Studio provides to handle them.

Chapter 6, Introduction to Azure Databricks, shows how Azure Data Factory can trigger Databricks notebook.

Chapter 7, Reporting on the Modern Data Warehouse, explains how we can integrate this data into a Power BI report.

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