The scripts are written in a manner that intends them to be used as functions in a Log Analytics Workspace and requires the StartTime and EndTime parameters to be configured.
These KQL scripts are intended to assist in the parsing of Meraki syslog data sent to a Azure Log Analytics Workspace.
In contrast to the Meraki/Microsoft provided parser, it has been broken out into different logging areas and makes less use of regex and uses the built-in parse and parse-kv operators in conjunction with applying a union to sub queries to simplify the parsing process and speed it up through the parallelization offered by the union operator. As a result, the parser is many times faster.
The MerakiWirelessEvents.kql file also takes a different approach to parsing the many key-value pairs. The wireless event logs can contains a few dozen pairs whose presence can depend on event details. Because of this, the parse-kv operator wasn't ideal. Instead, it extracts all pairs using regex, packs them into a property bag, and then expands the bag to the columns.