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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

Product type Paperback

Published in May 2018

Publisher Packt

ISBN-13 9781789137620

Length 284 pages

Edition 1st Edition

Languages

SQL

Tools

Azure

Concepts

Big Data

Authors (3):

Christian Cote

Giuseppe Ciaburro

Michelle Gutzait

View More author details

Table of Contents (8) Chapters

Preface

1. The Modern Data Warehouse

2. Getting Started with Our First Data Factory FREE CHAPTER

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

Creating our Power BI reports

Now that we have explained what Power BI is, it is time to create our first reports with it. The Power BI development life cycle starts with Power BI for desktop. We create our reports with it and then publish them on the cloud or on-premise on our local Power BI Report Servers.

This chapter will focus on two paradigms of BI as explained in the previous sections: personal and team BI.

Reporting with on-premise data sources

Our first Power BI report will use the on-premise World Wide Importers we talked about earlier in this book. We will first connect to the World Wide Importers relational database using Power BI for desktop.

If you haven't created an account yet, create one now; it's free. If you already have a Power BI account, select the link as highlighted in the following screenshot:

Once connected, uncheck Show this screen on startup and click on the Get data.

In the Get Data window, select SQL Server database and click on Connect:

As shown in the following screenshot...

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Authors (3)

Cote

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

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

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).

See other products by Giuseppe Ciaburro

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