Скачать или смотреть BigQuery Interview Questions & Answers | Aggregation Query: Count Males/Females by Department | SQL

🔥 The BigQuery SQL Interview Question: Aggregation (COUNTIF & GROUP BY)

In this essential BigQuery SQL tutorial, we walk through the most common data warehousing challenge: *Aggregating and summarizing data* efficiently. This is a common *BigQuery interview question* designed to test your understanding of datasets, tables, and powerful aggregation functions.

You'll learn the complete, end-to-end workflow, starting with setting up your environment and ending with a highly efficient summary query. We'll specifically focus on how to count conditional data (like Males vs. Females) using the powerful *COUNTIF* function paired with **GROUP BY**.

What You'll Master in this BigQuery Tutorial:
How to write BigQuery SQL for creating a Dataset and a Table.
The proper syntax for inserting multiple records in a single query.
The *best* and most efficient way to summarize categorical data using `COUNTIF`.
Why the *GROUP BY* approach is superior for this scenario.

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⏱️ Video Timestamps (Chapters)

*0:00* - Intro: The Scenario and the Interview Challenge
*0:45* - BigQuery Query 1: Creating the *Dataset*
*1:30* - BigQuery Query 2: Creating the *Employee Table* (Schema defined)
*2:45* - BigQuery Query 3: *Inserting all 15 Records* into the table
*4:10* - BigQuery Query 4: The *Aggregation Solution* (COUNTIF & GROUP BY)
*6:05* - Explaining the results and the COUNTIF logic
*7:15* - Why the *GROUP BY* method is the only right answer for this summary report

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💻 Queries Used in This Video:

https://docs.google.com/document/d/e/...


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