66. AVERAGE in Window Functions - Calculating Moving Averages in SQL BigQuery
In this video, we explore how to use the AVERAGE() window function in SQL BigQuery to calculate moving averages and analyze trends in your data. We cover how to calculate averages over specific windows of data, allowing for insights into time-series, financial analysis, and trend detection.
🔑 What You Will Learn in This Video:
✔️ AVERAGE() window function: Calculating the average of values within a specified window or partition
✔️ Practical examples of using AVERAGE() to calculate moving averages on time-series data
✔️ How to use PARTITION BY and ORDER BY to define windows for your average calculations
✔️ Real-world applications, such as calculating moving averages for stock prices or sales data
✔️ How to improve your analysis of data trends using AVERAGE() in SQL
✔️ Optimizing queries involving AVERAGE() on large datasets in BigQuery
By the end of this tutorial, you’ll be able to calculate averages over dynamic windows of your data and gain better insights into trends using the AVERAGE() window function in BigQuery SQL.
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