Course 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, such as those with the DP-203: Azure Data Engineer certification.
Who should attend
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).
Certifications
This course is part of the following Certifications:
Follow On Courses
- Develop AI solutions in Azure (AI-102T00)
- Design and implement cloud-native applications with Microsoft Azure Cosmos DB (DP-420T00)
- Microsoft Fabric Analytics Engineer (DP-600T00)
- Introduction to Microsoft Azure Data (DP-900T00)
- Design and Manage Analytics Solutions Using Power BI (PL-300T00)
- Designing and implementing a data science solution on Azure (DP-100T01)
- Implement scalable database solutions using Azure SQL (DP-300T00)
Course Content
- 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