Is your data science project crawling because of slow date processing in R or Python? You’re likely making one of the most common performance mistakes. In this video, we debunk the myth that all data manipulation should happen in Python and reveal why SQL is the king of handling dates and durations.
We’ll break down the three core, fact-based reasons why preprocessing your dates at the source (in SQL) is a non-negotiable skill for professional Data Scientists and Engineers.
By the end of this short guide, you’ll understand how to write smarter queries that save you time, reduce memory errors, and build scalable, professional-grade data pipelines.
🔔 Subscribe for more practical tips.
#SQL #R #Python #DataScience #beginners #sqlforbeginners #interview #shorts #education #dataanalytics #dates SQL, Python, SQL vs Python, Data Science, Pandas, Data Analytics, ETL, Data Preprocessing, Data Pipeline, Performance Tuning, SQL Tutorial, Data Science for Beginners, SQL Dates, DATEDIFF, DATE_TRUNC, Big Data, Data Engineering Tutorial, Code Optimization
コメント