Book Image

Hands-On Data Warehousing with Azure Data Factory

By : Cote, Michelle Gutzait, Giuseppe Ciaburro
Book Image

Hands-On Data Warehousing with Azure Data Factory

By: 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 2. Getting Started with Our First Data Factory

OK, enough talk, let's get our hands dirty. In this chapter, we will cover the basics of the data factory and show you what the components discussed in the previous chapter are doing.

Here is what's needed for this chapter, as well as all others in this book:

  • An active Azure subscription: if you don't have one, you can use a trial version at https://azure.microsoft.com/en-in/free/.
  • Once we have an Azure subscription, we will create the following Azure components:
    • A resource group that will group everything we're going to create together
    • An ADF with a copy activity
    • An Azure Blob storage
    • A SQL Azure database