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Learn how to identify anomalies in your data using SQL. Understand how to apply mathematical concepts such as mean, standard deviation, and z-score to detect when an anomaly occurred in your data and how to investigate past data to improve and refine the model.

Simple Anomaly Detection using SQL

In anomaly detection systems, we usually want to identify if we have an anomaly right now, and send an alert.

To identify if the last data point is an anomaly, we start by calculating the mean and standard deviation for each status code in the past hour:

Identify anomalies in the given dataset to further understand the process.

Detecting Anomalies

Analyzing A Server Log

Backtesting

Improving Accuracy

Identifying Anomalies