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Hands-On Data Warehousing with Azure Data Factory

You're reading from  Hands-On Data Warehousing with Azure Data Factory

Product type Book
Published in May 2018
Publisher Packt
ISBN-13 9781789137620
Pages 284 pages
Edition 1st Edition
Languages
Concepts
Authors (3):
Christian Cote Christian Cote
Profile icon Christian Cote
LinkedIn
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
Michelle Gutzait Michelle Gutzait
Profile icon Michelle Gutzait
LinkedIn
Michelle Gutzait has been in IT for 30 years as a developer, business analyst, and database
See other products by Michelle Gutzait
Giuseppe Ciaburro Giuseppe Ciaburro
Profile icon Giuseppe Ciaburro
LinkedIn
Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli". He has over 25 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in MATLAB, Python and R. As an expert in AI applications to acoustics and noise control problems, Giuseppe has wide experience in researching and teaching. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He was recently included in the world's top 2% scientists list by Stanford University (2022).
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Table of Contents (12) Chapters

Title Page
Packt Upsell
Contributors
Preface
1. The Modern Data Warehouse 2. Getting Started with Our First Data Factory 3. SSIS Lift and Shift 4. Azure Data Lake 5. Machine Learning on the Cloud 6. Introduction to Azure Databricks 7. Reporting on the Modern Data Warehouse Index

Chapter 1. The Modern Data Warehouse

Azure Data Factory(ADF) is a service that is available in the Microsoft Azure ecosystem. This service allows the orchestration of different data loads and transfers in Azure.

Back in 2014, there were hardly any easy ways to schedule data transfers in Azure. There were a few open source solutions available, such as Apache Falcon and Oozie, but nothing was easily available as a service in Azure. Microsoft introduced ADF in public preview in October 2014, and the service went to general availability in July 2015.

The service allows the following actions:

  • Copying data from various sources and destinations
  • Calling various computation services, such as HDInsight and Azure data warehouse data transformations
  • Orchestrating the preceding activities using time slices and retrying the activities when there is an error

All these activities were available via the Azure portal at first, and in Visual Studio 2013 before general availability (GA).

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Hands-On Data Warehousing with Azure Data Factory
Published in: May 2018 Publisher: Packt ISBN-13: 9781789137620
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Authors (3)

Left arrow icon
Profile icon Christian Cote
LinkedIn
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
Profile icon Michelle Gutzait
LinkedIn
Michelle Gutzait has been in IT for 30 years as a developer, business analyst, and database
See other products by Michelle Gutzait
Profile icon Giuseppe Ciaburro
LinkedIn
Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli". He has over 25 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in MATLAB, Python and R. As an expert in AI applications to acoustics and noise control problems, Giuseppe has wide experience in researching and teaching. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He was recently included in the world's top 2% scientists list by Stanford University (2022).
Read more
See other products by Giuseppe Ciaburro
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