Price
Duration
Delivery
Course Objective:
This course aims to equip individuals with the skills to implement and manage data engineering workloads on Microsoft Azure, leveraging services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and more. Participants will also learn common data engineering tasks, including orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating real-time data streams, and tracking data assets and lineage.
Curriculum
- 1 Section
- 1 Lesson
- Lifetime
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Requirements
- Prospective students are expected to have a solid understanding of cloud computing and core data concepts, along with professional experience in data solutions. Prerequisite knowledge of Microsoft Azure Fundamentals and Microsoft Azure Data Fundamentals is recommended.
Target audiences
- This course is designed for data professionals, data architects, and business intelligence professionals seeking to enhance their knowledge of data engineering and develop analytical solutions using Microsoft Azure's data platform technologies. Additionally, data analysts and data scientists working with analytical solutions built on Microsoft Azure will find value in this course.