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)

Azure Machine Learning Studio


Azure Machine Learning Studio is an interactive programming tool for machine learning analysis. This is the solution offered by Microsoft as a tool to create predictive models automatically without the need to know how the algorithm works. It is a platform in which data, cloud-based tools, and predictive analysis are combined to implement an effective model. The platform also has numerous APIs to help developers build advanced artificial intelligence models. Azure Machine Learning Studio is available at the following link: https://studio.azureml.net/.

The following screenshot shows the welcome page of Azure Machine Learning Studio:

In Azure Machine Learning Studio, building a development model becomes an interactive experience. It's more fun and much easier than the classic methodologies, which involve the implementation/adaptation of algorithms already available in libraries. In fact, thanks to the drag-and-drop function, it will be enough to select the necessary...