Learn to identify and address irregularities in data using SQL. This module covers detecting anomalies, backtesting techniques, and server log analysis to improve your database's efficiency.

Become a Database Professional with SQL

In this module, we’ll focus on detecting anomalies in data using SQL. We’ll explore how to apply mathematical concepts like mean, standard deviation, and z-scores to identify anomalies. Additionally, we’ll delve into backtesting techniques to investigate past data and refine our detection models. We’ll also cover server log analysis to improve and optimize the overall efficiency and scalability of databases.

Anomaly Detection

Is the following statement true or false:

_"Mean is considered robust"_

Is the following statement true or false:
“Mean is considered robust”

Is the following statement true or false:

_"Median is considered robust"_

Is the following statement true or false:
“Median is considered robust”

Detecting Anomalies

Analyzing A Server Log

Backtesting

Improving Accuracy

Conclusion

Quiz 4