1. A system, comprising: a memory storing a plurality of instructions; and one or more processors configured to access the memory, wherein the one or more processors are further configured to execute the plurality of instructions to at least: identify a continuous query; determine whether the continuous query includes one or more continuous subqueries; and when it is determined that the continuous query includes a continuous subquery of the one or more continuous subqueries: process the continuous subquery to obtain first results from a time-varying relation associated with a data stream, the time-varying relation comprising a bounded window on the data stream and a same schema for each event of the data stream; store only a subset of the first results from the continuous subquery in a dimension table when the subset of the first results is associated with a low probability of change; issue the continuous query based at least in part on the dimension table corresponding to the continuous subquery; receive a runtime exception; determine whether the runtime exception is a known runtime exception that is understood by a service based at least in part on a format of the runtime exception; when the format of the runtime exception is the known runtime exception: identify that a change to the dimension table has occurred; refresh the dimension table by reprocessing the continuous subquery based at least in part on the runtime exception; and reissue the continuous query to obtain second results after the dimension table is refreshed; store the second results of the reissued continuous query in a data object; implement a pattern match query on the second results stored in the data object; perform trend analysis on the pattern match query results; provide, for display by a user interface, a mapping of the trend analysis to a visualization; identify a pattern corresponding to a performance indicator from the trend analysis; and provide an alert in the user interface based at least in part on the pattern identified from the trend analysis.