Designing Data Flows in Azure
Data Flow Basics
Designing a Data Flow Solution
The course is part of these learning pathsSee 2 more
This Designing Data Flows in Azure course will enable you to implement the best practices for data flows in your own team. Starting from the basics, you will learn how data flows work from beginning to end. Though we do recommend an idea of what data flows are and how they are used, this course contains some demonstration lectures to really make sure you have got to grips with the concept. By better understanding the key components available in Azure to design and deploy efficient data flows, you will be allowing your organization to reap the benefits.
This course is made up of 19 comprehensive lectures including an overview, demonstrations, and a conclusion.
- Review the features, concepts, and requirements that are necessary for designing data flows
- Learn the basic principles of data flows and common data flow scenarios
- Understand how to implement data flows within Microsoft Azure
- IT professionals who are interested in obtaining an Azure certification
- Those looking to implement data flows within their organizations
- A basic understanding of data flows and their uses
Related Training Content
For more training content related to this course, visit our dedicated MS Azure Content Training Library.
I hope you've enjoyed learning about data flows and the components and thought the process that goes into designing them. Let's review what you've learned.
In this course, you learned about data flow basics. You learned about common data flow scenarios along with the data lifecycle. You were then taught what goes into determining data requirements and the benefits of data flow in the cloud.
Later in the course, you learned about the process of designing a data flow, including the assessments of data flow requirements and Azure storage options. You learned about the role that Azure Data Factory plays, as well as the role that Databricks plays.
Next, we covered core components of a data flow, including Azure HDInsight and Azure Synapse Analytics.
To round out the course after learning about all the key components that constitute a data flow, you learned what a typical modern data warehouse looks like.
To learn more about data flows and how to design and document them, you can, and should, read Microsoft's published documentation. Be sure to also watch for new Microsoft Azure courses on Cloud Academy, because we're always publishing new courses. Please give this course a rating, and if you have any questions or comments, please let us know. Thanks for watching and happy learning!
Tom is a 25+ year veteran of the IT industry, having worked in environments as large as 40k seats and as small as 50 seats. Throughout the course of a long an interesting career, he has built an in-depth skillset that spans numerous IT disciplines. Tom has designed and architected small, large, and global IT solutions.
In addition to the Cloud Platform and Infrastructure MCSE certification, Tom also carries several other Microsoft certifications. His ability to see things from a strategic perspective allows Tom to architect solutions that closely align with business needs.
In his spare time, Tom enjoys camping, fishing, and playing poker.