Point Anomaly Detection

A system comprising:

• data processing hardware of a user device;
• and
• memory hardware in communication with the data processing hardware, the memory hardware storing instructions executed on the data processing hardware and cause the data processing hardware to perform operations comprising:
• generating a point data anomaly detection query for a user of the user device, the point data anomaly detection query requesting a cloud database system to determine a quantity of anomalous point data values in a set of point data values;
• transmitting the point data anomaly detection query to the cloud database system, the point data anomaly detection query, when received by the cloud database system, causing the cloud database system to:
• train, using unsupervised learning, a model using the set of point data values;
• and
• determine, using the model, that at least one point data value comprises an anomalous point data value;
• receiving, from the cloud database system, the determined at least one anomalous point data value;
• and
• reporting, to the user, the determined at least one anomalous point data value.