Transform Your Data Engineering Skills with Microsoft Fabric.
Staying ahead means mastering the latest tools and methodologies. The DP-700T00 course offers hands-on experience with Microsoft Fabric, empowering you to design efficient data loading patterns, architect robust data solutions, and orchestrate complex processes seamlessly.
By diving deep into data ingestion, transformation, and security, you’ll be equipped to handle enterprise-scale analytics with confidence. This course is perfect for data professionals eager to enhance their integration and orchestration capabilities.
Key Benefits:
- Craft effective data loading strategies tailored to real-world scenarios.
- Architect scalable data solutions that meet organizational demands.
- Implement robust security measures to protect sensitive information.
Don’t miss the opportunity to elevate your data engineering expertise. Enroll today and lead the future of data analytics with Microsoft Fabric.
Overview
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.
Objectives for this course include ingesting and transforming data and securing, managing, and monitoring data engineering solutions.
This course is designed for experienced data professionals skilled at data integration and orchestration, and prepares learners for the Microsoft Certified: Fabric Data Engineer Associate certification.
Skills Covered
- Ingest data with Microsoft Fabric
- Implement a Lakehouse with Microsoft Fabric
- Implement Real-Time Intelligence with Microsoft Fabric
- Implement a data warehouse with Microsoft Fabric
- Manage a Microsoft Fabric environment
Prerequisites
- Experience in data extraction, transformation, and loading.
- Experience at manipulating and transforming data with one of the following programming languages: Structured Query Language (SQL), PySpark, or Kusto Query Language (KQL)
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)
Module 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.
Module 2: Implement a Lakehouse with Microsoft Fabric
This learning path introduces the foundational components of implementing a data lakehouse with Microsoft Fabric.
Module 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.
Module 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.
Module 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.
Module 6: Use Activator in Microsoft Fabric
Fabric Activator is an event detection engine that automatically triggers actions when specific patterns or conditions are detected in data sources.
Dates & Locations
September 7, 2026 - September 10, 2026
September 7, 2026 - September 10, 2026
December 7, 2026 - December 10, 2026
December 7, 2026 - December 10, 2026
Exam & Certification
Microsoft Certified: Fabric Data Engineer Associate.
As a Fabric Data Engineer, you should have subject matter expertise with data loading patterns, data architectures, and orchestration processes.
As a candidate for this exam, you should have subject matter expertise with data loading patterns, data architectures, and orchestration processes. Your responsibilities for this role include:
- Ingesting and transforming data.
- Securing and managing an analytics solution.
- Monitoring and optimizing an analytics solution.
You work closely with analytics engineers, architects, analysts, and administrators to design and deploy data engineering solutions for analytics.
You should be skilled at manipulating and transforming data by using Structured Query Language (SQL), PySpark, and Kusto Query Language (KQL).
Skills measured
- Implement and manage an analytics solution
- Ingest and transform data
- Monitor and optimize an analytics solution
Training & Certification Guide
Frequently Asked Questions
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