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, such as those with the DP-203: Azure Data Engineer certification.

Course Prerequisites

To ensure a productive learning experience in the DP-700T00: Designing and Implementing Data Engineering with Microsoft Fabric course, participants should possess:

• Experience in data integration, orchestration, and transformation
• Familiarity with tools and concepts from the DP-203: Azure Data Engineer certification
• Hands-on knowledge of at least one of the following programming languages:
  1. Structured Query Language (SQL)
  2. PySpark
  3. Kusto Query Language (KQL)

These prerequisites will allow participants to actively engage with the material and maximize their learning outcomes.

Target Audience

This course is ideal for:

• Data engineers working on enterprise-scale analytics platforms
• BI professionals and architects looking to leverage Microsoft Fabric
• Azure data professionals with hands-on experience in extraction, transformation, and loading (ETL)
• Data architects and solution developers implementing modern data environments
• Professionals preparing for advanced data roles using Microsoft Fabric

Why Choose us

⭢ Live Online Training (Duration : 32 Hours)

⭢ Guaranteed to run classes

⭢ Experienced & certified trainers

⭢ Query Handling session

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Learning Objectives

The DP-700T00 course equips learners with the tools and knowledge to develop and manage robust, scalable data engineering solutions using Microsoft Fabric.

• Ingest data from diverse sources using Microsoft Fabric ingestion pipelines
• Design and implement Lakehouse architecture with Microsoft Fabric
• Create real-time intelligence solutions, enabling immediate data-driven decision-making
• Implement and manage data warehouses to support analytics and reporting
• Secure, govern, and monitor a Microsoft Fabric environment for operational excellence
• Build efficient data transformation and orchestration pipelines
• Apply best practices for performance optimization, data lineage, and cost management

These objectives provide learners with the foundation and applied skills needed to lead data engineering initiatives in modern data environments powered by Microsoft Fabric.