1. Lakehouse Fundamentals: Understand the power of combining data lake flexibility with data warehouse structure.
2. Data Import Methods:
- Direct upload via Fabric interface
- Using Microsoft OneLake File Explorer
- Leveraging Notebooks for complex scenarios
3. DataFrames in Action:
- Loading data from tables
- Filtering and manipulating with PySpark
- Utilizing built-in functions for efficient data transformation
4. Advanced Techniques:
- Mastering the .withColumn() method
- Implementing complex filtering logic
- Optimizing performance with proper data storage choices
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