Course code: DP203P
In this 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.
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Starting date: 06.10.2025
Type: Virtual
Course duration: 4 days
Language: en
Price without VAT: 1 100 EUR
Starting date: 08.12.2025
Type: Virtual
Course duration: 4 days
Language: en
Price without VAT: 1 100 EUR
Starting date: Upon request
Type: In-person/Virtual
Course duration: 4 days
Language: en/cz
Price without VAT: 1 100 EUR
| Starting date |
Place |
Type | Course duration |
Language | Price without VAT | ||
|---|---|---|---|---|---|---|---|
| 06.10.2025 | Virtual | 4 days | en | 1 100 EUR | Register | ||
| 08.12.2025 | Virtual | 4 days | en | 1 100 EUR | Register | ||
| Upon request | In-person/Virtual | 4 days | en/cz | 1 100 EUR | Register | ||
| G | Guaranteed course | ||||||
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.
Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions.
Specifically completing:
