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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

Michelle Gutzait

Giuseppe Ciaburro

View More author details

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

SSIS in ADF

SQL Server Integration Services (SSIS) has been the Microsoft ETL predilection tool for more than a decade. A lot of enterprises have used SSIS to load their on-premises data warehouses since its inception in SQL Server 2005.

In the last couple of years, IT departments have had to deal with different kinds of data and specific toolsets to process them. SSIS has successfully been able to access cloud data from on-premises ETL servers since 2015 with the Azure Feature Pack (https://docs.microsoft.com/en-us/sql/integration-services/azure-feature-pack-for-integration-services-ssis?view=sql-server-2017). However, issues occur when most of the ETL is in the cloud and SSIS is in a small part of the chain. And, up until now, it was very complex to use ADF V1 as the orchestrator in the cloud, with some SSIS package calls in the pipeline.

The following sections will describe how SSIS on-premises can be successfully leveraged to interact with cloud data in ADF V2.

Sample setup

The first thing...

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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).

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Michelle Gutzait

Michelle Gutzait has been in IT for 30 years as a developer, business analyst, and database

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Giuseppe Ciaburro

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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