Data & Analytics•SOTAAZ Lab••KR

"We Need Python for This" — Handling Pivot, JSON, UTM, RFM All in SQL

Learn practical patterns to handle Pivot, JSON parsing, UTM extraction, and RFM segmentation with a single SQL query instead of 100 lines of Python.

"We Need Python for This" — Handling Pivot, JSON, UTM, RFM All in SQL

"We Need Python for This" — Handling Pivot, JSON, UTM, RFM All in SQL

Python 100 Lines vs SQL One Query

"We need to build ETL in Python" — every time I hear this, I wonder: Set up Airflow, manage dependencies, configure schedulers... Do we really need all that?

80% of data processing tasks in real work can be done with SQL alone.

This article covers patterns for handling Pivot, JSON parsing, UTM extraction, and RFM segmentation — tasks commonly thought to "need Python" — with just SQL.

The rest of this series is paid

  • ✓ The whole “SQL analytics” series: 9 posts in English, 9 in Korean
  • ✓ 7 Jupyter notebooks
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