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SQL Interview Patterns

Sessionization

Group clickstream events into sessions based on inactivity thresholds. LAG for time gaps, CASE for session boundaries, SUM for session IDs. A Google/Uber/Meta favorite.

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Darshil Parmar
Written byFounder & Lead Instructor, Data Vidhya

Founder of Data Vidhya. 8+ years building production data pipelines. Trained 25,000+ data engineers across SQL, Spark, dbt, Airflow, and cloud platforms.

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