Reader small image

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

Product typeBook
Published inMay 2018
PublisherPackt
ISBN-139781789137620
Edition1st Edition
Tools
Concepts
Right arrow
Authors (3):
Christian Cote
Christian Cote
author image
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).
Read more about Christian Cote

Michelle Gutzait
Michelle Gutzait
author image
Michelle Gutzait

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

Giuseppe Ciaburro
Giuseppe Ciaburro
author image
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).
Read more about Giuseppe Ciaburro

View More author details
Right arrow

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...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Hands-On Data Warehousing with Azure Data Factory
Published in: May 2018Publisher: PacktISBN-13: 9781789137620

Authors (3)

author image
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).
Read more about Christian Cote

author image
Michelle Gutzait

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

author image
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).
Read more about Giuseppe Ciaburro