Description
This course teaches how to implement data engineering solutions using Microsoft Fabric, focusing on designing data architectures and orchestrating processes. Students will learn to ingest, transform, secure, and monitor data for enterprise-scale analytics.
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Learning Outcomes
- Ingest data using Dataflows Gen2 in Microsoft Fabric
- Orchestrate processes and data movement with Microsoft Fabric
- Use Apache Spark for data processing in Microsoft Fabric
- Implement real-time intelligence with eventstreams and eventhouse
- Create and manage lakehouses and data warehouses
- Secure and monitor Microsoft Fabric environments
- Implement CI/CD in Microsoft Fabric
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Prerequisites
Knowledge of cloud computing and core data concepts, along with professional experience in data solutions. Completion of specific foundational courses is required.
Prerequisite courses (or equivalent knowledge and hands-on experience):
- AZ-900 – Azure Fundamentals
- DP-900 – Microsoft Azure Data Fundamentals
Target Audiences
- Data professionals with experience in data extraction, transformation, and loading, who need to create and deploy data engineering solutions using Microsoft Fabric for enterprise-scale analytics. Learners should have experience with SQL, PySpark, or KQL.
Featured Review
"This course equipped me with advanced skills to design and deploy efficient data solutions using Microsoft Fabric, significantly improving my data orchestration capabilities. - Siti Aishah, Lead Data Analyst at a global financial firm"
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