DP-601 Implementing a Lakehouse with Microsoft Fabric
Categories:
Applied Skills, Data Analytics, Intermediate Level
Description
This course builds foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. It covers Apache Spark for distributed data processing and data management with Delta Lake tables, as well as data ingestion using Dataflows Gen2 and Data Factory pipelines.
Learning Outcomes
- Describe end-to-end analytics in Microsoft Fabric
- Create and manage lakehouses
- Ingest data into files and tables
- Query lakehouse tables with SQL
- Configure and use Apache Spark for data processing
- Work with Delta Lake tables for data reliability
- Implement data ingestion with Dataflows Gen2
- Orchestrate data pipelines with Data Factory
Prerequisites
Familiarity with basic data concepts and terminology.
Target Audiences
- Data professionals familiar with data modeling, extraction, and analytics, including Data Analysts, Data Engineers, and Data Scientists interested in Lakehouse architecture and Microsoft Fabric for end-to-end analytics.
Featured Review
"This course gave me practical skills to implement lakehouses efficiently, boosting my data engineering projects. - Priya Lim, Data Scientist at a Singapore-based tech startup"
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