Microsoft Official Course (MOC)
Course
DP-600T00-A: Microsoft Fabric Analytics Engineer
(4 day)
About this Course:
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This course covers methods and practices for implementing and managing enterprise-scale data analytics solutions using Microsoft Fabric. Students will learn how to use Fabric dataflows, pipelines, and notebooks to develop analytics assets such as semantic models, data warehouses, and lakehouses. This course is designed for experienced data professionals skilled at data preparation, modeling, analysis, and visualization, such as the PL-300: Power BI Data Analyst certification. Learners should have prior experience with one of the following programming languages: Structured Query Language (SQL), Kusto Query Language (KQL), or Data Analysis Expressions (DAX).
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Course Goals/Skills Gained:
- Get started with Microsoft Fabric
- Implement a Lakehouse with Microsoft Fabric
- Ingest data with Microsoft Fabric
- Implement a data warehouse with Microsoft Fabric
- Work with semantic models in Microsoft Fabric
Audience:
- The primary audience for this course is data professionals with experience in data modeling and analytics. DP-600 is designed for professionals who want to use Microsoft Fabric to create and deploy enterprise-scale data analytics solutions.
Course Format:
Course Language Option : You can choose the language in which the training will be conducted – Bulgarian or English. All our instructors are fluent in English.
Student Guides: The training materials are available in electronic format. They can be used online / offline on any device. Lifetime access.
Lab Environment: Each student has their own lab environment where the exercises are conducted, part of the course. You do not need to install software on a computer or special hardware requirements.Participants in a face-to-face format in our Training Center have an individual computer during the training.
Course Duration:
- 4 working days (09:00 – 17:00)
or
32 hours training (theory and practice) in non-working hours lasting 4 weeks
Saturday and Sunday 10:00 – 14:00, 14:00 – 18:00, 18:00 – 22:00
Monday and Wednesday 19:00 – 23:00
Tuesday and Thursday 19:00 – 23:00
Payments:
An application for an invoice shall be accepted at the time of entry of the relevant course.
An invoice is issued within 7 days of confirmation of payment.
Next class:
For more information, use the contact format. We will contact you to confirm the data.
Prerequisites:
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You should be familiar with basic data concepts and terminology.
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