Course Description
In this 4-day Course DP-203T00-A: Data Engineering on Microsoft Azure training course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage.
The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure.
Course Summary
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Course Modules
Introduction to data engineering on Azure
- Introduction
- What is data engineering
- Important data engineering concepts
- Data engineering in Microsoft Azure
- Knowledge check
- Summary
Use Delta Lake in Azure Synapse Analytics
- Introduction
- Understand Delta Lake
- Create Delta Lake tables
- Create catalog tables
- Use Delta Lake with streaming data
- Use Delta Lake in a SQL pool
- Exercise – Use Delta Lake in Azure Synapse Analytics
- Knowledge check
- Summary
Get started with Azure Stream Analytics
- Introduction
- Understand data streams
- Understand event processing
- Understand window functions
- Exercise – Get started with Azure Stream Analytics
- Knowledge check
- Summary
Testimonials
Thoroughly enjoyed the training. The trainer was fantastic! It is rare but always an awesome experience when a trainer is also an experienced practioner with a breadth of knowledge and hands on experience… even well beyond the subject matter at hand. I had the feeling that the trainer could have answered in detail any question we might have had related to not only BDM but Hadoop and other relevant big data topics as well. Time well spent and I hope to encounter Tomi again.
- Rick Kirk, CTO, Alliant Energy / Ernst & Young
The training with Thomas went very well, and I felt the course overall was well balanced. Thomas was able to help with my many specific questions related to our internal project requirements, and he was helpful, clear, and concise throughout – 5 star /excellent!
- Marco, Lead Data Platform Engineer, C. Hoare & Co.
“The Informatica Cloud Data Integration for Developers training class was excellent, the teacher was very knowledgeable and the materials were very useful”
- James Martin, Data Engineer, RoyOMartin
