Design Principles for Serving Layer in Microsoft Azure
by Bismark Adomako
This course will teach you how to design and optimize analytical workloads for the serving layer in Azure.
What you'll learn
As a data professional, knowing how data is served to you helps when developing for or at the serving layer. In this course, Design Principles for Serving Layer in Microsoft Azure, you’ll learn to design and optimize analytical workloads. First, you’ll explore the analytical data stores in Azure. Next, you’ll discover key selection criteria for analytical data stores. Finally, you’ll learn how to design metastores in Azure Synapse Analytics and Azure Databricks. When you’re finished with this course, you’ll have the skills and knowledge of a data professional needed to design your presentation layer.
About the author
Bismark believes that education is no longer a one-time investment, but instead a lifelong pursuit and that great authors and mentors can play an invaluable role in finding and developing a fulfilling career.
He holds a Bachelor of Science degree in Computer Engineering specializing in Software Engineering, Artificial Intelligence and Distributed computing. He taught courses in robotics and computer vision as a student leader whiles in school, and interned and consulted for the British Counci... morel as a Software Engineer and Project Assistant.
He currently works as a Business Intelligence and Big Data developer doubling up as a Data Scientist at Ecobank eProcess International S.A. developing machine learning models some of which includes the Customer360 model consisting of a customer segmentation model, customer churn model, and customer cross selling (product recommendation) model.
He has enterprise level knowledge in data integration for BI & Data Management domain applications.