Data Engineering beginner ⏱ 4–6 hours
PyArrow: High-Performance Data Processing
Discover PyArrow for fast columnar data processing in Python — significantly faster than Pandas for large datasets and Parquet files.
PyArrowPythonParquetPerformance
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What you’ll build
A set of data processing scripts using PyArrow to read, transform, and write Parquet files — benchmarked against Pandas to see the performance difference firsthand. Relevant for pipelines that handle millions of rows.
Skills you’ll practice
- PyArrow Tables, Schemas, and data types
- Reading and writing Parquet files efficiently
- Arrow-native computation vs Pandas interop
- Understanding columnar storage and why it matters for analytics
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