Design Principles for Serving Layer in Microsoft Azure

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Bismark Adomako

48:07

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1. Course Overview

1. Course Overview.mp4

01:35

2. Evaluating Analytical Data Stores in Azure

1. Overview.mp4

00:54

2. Choosing an Analytical Data Store.mp4

03:43

3. Categories of Data Stores.mp4

04:18

4. Choosing a Data Analytics Technology in Azure.mp4

02:59

5. Summary.mp4

00:14

3. Design and Optimize Analytical Workloads in Azure

1. Overview.mp4

00:41

2. Understanding Star Schema.mp4

02:58

3. Slowly Changing Dimensions.mp4

05:33

4. Setting up Azure Synapse Workspace.mp4

04:46

5. Creating a Mapping Data Flow.mp4

07:51

6. Testing the Mapping Data Flow.mp4

08:08

7. Dealing with Dimensional Hierarchies.mp4

03:44

8. Summary.mp4

00:43

Description

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.

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Microsoft Azure

Bismark Adomako

Instructor's Courses

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 Council 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.

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.