Book Image

Hands-On Data Warehousing with Azure Data Factory

By : Christian Cote, Michelle Gutzait, Giuseppe Ciaburro
Book Image

Hands-On Data Warehousing with Azure Data Factory

By: Christian Cote, Michelle Gutzait, Giuseppe Ciaburro

Overview of this book

ETL is one of the essential techniques in data processing. Given data is everywhere, ETL will always be the vital process to handle data from different sources. Hands-On Data Warehousing with Azure Data Factory starts with the basic concepts of data warehousing and ETL process. You will learn how Azure Data Factory and SSIS can be used to understand the key components of an ETL solution. You will go through different services offered by Azure that can be used by ADF and SSIS, such as Azure Data Lake Analytics, Machine Learning and Databrick’s Spark with the help of practical examples. You will explore how to design and implement ETL hybrid solutions using different integration services with a step-by-step approach. Once you get to grips with all this, you will use Power BI to interact with data coming from different sources in order to reveal valuable insights. By the end of this book, you will not only learn how to build your own ETL solutions but also address the key challenges that are faced while building them.
Table of Contents (12 chapters)

Power BI consumption

So far in this chapter, we've talked about data publication. There are several ways to consume Power BI dashboards and reports:

  • Web browser: This the most common way to consume the data when we are provided a valid URL for the reports.
  • Power BI mobile: This is a client application (app) that is available for Windows 10, iOS, and Android. It has the capability to connect to Power BI on the cloud or on premises to a Power BI report Server. It is optimized for tablet and touchscreen usage.
  • Power BI embedded: This allow us to integrate Power BI dashboards and reports in custom applications. They are mainly used by ISVs and developers to distribute their reports from inside their applications.

Having all of these possibilities to consume dashboards and reports gives us more flexibility when we design modern BI solutions.