Source: https://www.udemy.com/course/14daysfabric001/What you’ll learn
- Master Microsoft Fabric Notebooks: Learn to schedule notebooks, manage environments, and handle export/import operations for real-time data workflows.
- Orchestrate Data Pipelines: Use parameters, notebookutils, and master notebooks to trigger parallel executions and integrate with KeyVaults and lakehouse contex
- Perform Advanced Data Ingestion & Transformation: Apply PySpark and Pandas to read complex formats like multiline JSON and implement transformations using selec
- Design and Optimize Delta Lake Architectures: Implement features like Time Travel, Restore, Partitioning, Z-Ordering, and SCD Type 1 & 2 with audit logging and
- Execute End-to-End Projects: Apply all concepts in full-scale, scenario-driven projects including lakehouse setup, pipeline orchestration, and log storage in da
Requirements
- No prior Python experience required—Python will be taught hands-on within the course.
- Basic understanding of data concepts like tables, joins, and file formats (CSV, JSON)
- Familiarity with cloud platforms or data engineering tools is helpful but not mandatory.
- Curiosity and commitment to learning through real-world, project-based scenarios.
Download Links
Password: cms.ddpanda.org
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