Switch to the store?

Hands-On Data Warehousing with Azure Data Factory

More Information
Learn
  • Understand the key components of an ETL solution using Azure Data Factory and Integration Services
  • Design the architecture of a modern ETL hybrid solution
  • Implement ETL solutions for both on-premises and Azure data
  • Improve the performance and scalability of your ETL solution
  • Gain thorough knowledge of new capabilities and features added to Azure Data Factory and Integration Services
About

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.

Features
  • Combine the power of Azure Data Factory v2 and SQL Server Integration Services
  • Design and enhance performance and scalability of a modern ETL hybrid solution
  • Interact with the loaded data in data warehouse and data lake using Power BI
Page Count 284
Course Length 8 hours 31 minutes
ISBN 9781789137620
Date Of Publication 30 May 2018

Authors

Christian Cote

Christian Coté has been in IT for more than 12 years. He is an MS-certified technical specialist in business intelligence (MCTS-BI). For about 10 years, he has been a consultant in ETL/BI projects. His ETL projects have used various ETL tools and plain code with various RDBMSes (such as Oracle and SQL Server). He is currently working on his sixth SSIS implementation in 4 years.

Giuseppe Ciaburro

Giuseppe Ciaburro holds a PhD in environmental technical physics, along with two master's degrees. His research was focused on machine learning applications in the study of urban sound environments. He works at the Built Environment Control Laboratory at the Università degli Studi della Campania Luigi Vanvitelli, Italy. He has over 15 years' professional experience in programming (Python, R, and MATLAB), first in the field of combustion, and then in acoustics and noise control. He has several publications to his credit.

Michelle Gutzait

Michelle Gutzait has been in IT for 30 years as a developer, business analyst, and database consultant. She has worked with MS SQL Server for 20 years. Her skills include infrastructure and database design, performance tuning, security, HADR solutions, consolidation, very large databases, replication, T-SQL coding and optimization, SSIS, SSRS, SSAS, admin and infrastructure tools development, cloud services, training developers, DBAs, and more. She has been an Oracle developer, business analyst, and development team lead.