Introduction to Data Ingestion
Ingesting from APIs
Reading Multiple File Formats
Pydantic for Data Validation
Writing to Databases
Error Handling and Logging
Practice
Assignment
Gotchas & Pitfalls
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4. Reading Multiple File Formats
Content coming soon...
Suggested Topics
- Reading CSV: pandas, csv module, handling delimiters and escaping
- Reading JSON: parsing flat vs nested JSON, handling large files
- Reading Parquet: efficient columnar format, benefits over CSV
- Handling headers and schema: detecting vs specifying structure
- Data type inference: automatic detection vs explicit specification
- Normalization: converting disparate formats into a consistent schema
- Handling missing/null values: strategies (drop, impute, flag)
- Large file handling: streaming vs loading everything in memory
- Charset/encoding issues: detecting and handling different encodings
- Real example: reading multiple file formats and standardizing them
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