Extract, Transform, and Load (ETL) is one of the essential techniques in data processing. Given that data is everywhere, ETL will always be the best way to handle data from different sources.
This book starts with the basic concepts of data warehousing and ETL. 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 in 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 know how to build your own ETL solutions, but will also be able to address the key challenges that are faced while building them.
