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)

Chapter 7. Reporting on the Modern Data Warehouse

There are a lot of tools available these days when it comes to reporting. In this book, we'll use Power BI for several reasons:

  • It has a free version. We'll talk about the different versions later in this chapter.
  • It can connect to a wide variety of data sources.
  • There are many transformations and merges that can be applied to the data sources from it.
  • It is easy to use and has a lot of visualizations available.

Power BI is not that new in the reporting world; it has been around for almost 5 years now. It has evolved since then and continues to evolve. Microsoft releases an update to Power BI monthly.

From a modern data warehouse perspective, we need a reporting tool that is flexible enough to accommodate a wide variety of users, from beginners or casual users to power users. As we will see later in this chapter, Power BI can address all of these mentioned users and can also connect to many data sources, be it on the cloud or on-premise.

The next...