DP-203T00--A: Data Engineering on Microsoft Azure
Reference : MS DP-203Educational objectives
At the end of this “DP-203T00: Data Engineering on Microsoft Azure” course, participants should be able to:
- Design and implement data storage.
- Develop data processing.
- Secure, monitor, and optimize data storage and data processing.
- Create and load relational data warehouse.
- Track data assets and lineage.
Course programme
This course equips participants with the skills to 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.
Who is this course for?
Public
Empowering data professionals, data architects, and business intelligence enthusiasts, this training is tailored for individuals eager to delve into data engineering and construct analytical solutions using data platform technologies on Microsoft Azure. Ideal for those seeking a comprehensive understanding of building analytical solutions, the program is well-suited for data analysts and data scientists working with Microsoft Azure-based analytical solutions. Elevate skills on this learning journey to enhance your data engineering expertise and create impactful analytical solutions in the dynamic Microsoft Azure environment!
Prerequisites
Before starting this module, you should have completed the Microsoft Azure Data Fundamentals certification or have equivalent knowledge and experience.