Course

Microsoft Fabric Data Engineer – Flexible Training («DP700V»)

This course covers methods and practices to implement data engineering solutions by using Microsoft Fabric. Students will learn how to design and develop effective data loading patterns, data architectures, and orchestration processes.
Vendor code

DP-700

Duration 4 days
Price 3'400.–
Course documents Official Microsoft Courseware on Microsoft Learn
Modality: Virtual classes are split into half-day sessions (see additional information)

Course facts

Key Learnings
  • Ingesting and transforming data
  • Securing and managing an analytics solution
  • Monitoring and optimizing an analytics solution
Content

1 Ingest data with Microsoft Fabric
Explore how Microsoft Fabric enables you to ingest and orchestrate data from various sources (such as files, databases, or web services) through dataflows, notebooks, and pipelines.

2 Implement a Lakehouse with Microsoft Fabric
This module introduces the foundational components of implementing a data lakehouse with Microsoft Fabric.

3 Implement Real-Time Intelligence with Microsoft Fabric
Real-time intelligence in Microsoft Fabric enables analysis of streaming events in real or near-real time.

4 Implement a data warehouse with Microsoft Fabric
Explore the data warehousing process and learn how to load, monitor, secure, and query a warehouse in Microsoft Fabric.

5 Manage a Microsoft Fabric environment
Microsoft Fabric is a Software-as-a-Service platform for data analytics. Learn how to manage your environment through Continuous Integration/Continuous Deployment (CI/CD), monitoring, and security.

Methodology & didactics

This intensive training prepares you for the exam for «Microsoft Certified: Fabric Data Engineer Associate».

Target audience

This audience for this course is data professionals with experience in data extraction, transformation, and loading. DP-700 is designed for professionals who need to create and deploy data engineering solutions using Microsoft Fabric for enterprise-scale data analytics. Learners should also have experience at manipulating and transforming data with one of the following programming languages: Structured Query Language (SQL), PySpark, or Kusto Query Language (KQL).

Requirements
  • Experience with data extraction, transformation, loading, and orchestration
  • Basic understanding of working with Microsoft Entra ID – authentication, authorisation, users and groups
  • Basic experience with Microsoft Power BI – creating workspaces, developing basic reports, publishing reports to the cloud, general familiarity with Power BI user interface
  • Familiarity with Microsoft Fabric and SQL

    Microsoft Azure Data Fundamentals – Flexible Training («DP900V»)

    1 day
    CHF
    900.–
Additional information

The «flexible» live virtual course is scheduled over a period of 3-4 weeks. During this time, 6-8 instructor-led sessions of 3.5 hours each take place, i.e., the instructor supervises the participants live. All live sessions of a course will take place in the morning from 8:30 am - 12:00pm (CET) or afternoon from 1:30 pm - 5:00 pm (CET). This time is indicated on the respective course as a total of 1-5 days. 

By clicking on «Timetable» when enrolling, you can already see when the live sessions will take place. Of course, these sessions are recorded and therefore available for the class afterwards. 

Everything takes place on one Microsoft Teams channel per class. The participants have access to all sessions and information within the class for the duration of the course.

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