About This Course
This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. This course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines. This course includes a combination of lectures and hands-on exercises that will prepare you to work with lakehouses in Microsoft Fabric.
Full Time
Audience Profile
The primary audience for this course is data professionals who are familiar with data modeling, extraction, and analytics. It is designed for professionals who are interested in gaining knowledge about Lakehouse architecture, the Microsoft Fabric platform, and how to enable end-to-end analytics using these technologies.
Job role: Data Analyst, Data Engineer, Data Scientist
1 Day
7 Hours
Course Coverage
Prerequisites
You should be familiar with basic data concepts and terminology.
English
Course Fee Payable | ||
---|---|---|
Original Fee | Before GST | With GST |
Course Fee | $599.00 | $646.92 |