14. A system, comprising: a memory storing a plurality of instructions; and a processor configured to access the memory, the processor further configured to execute the plurality of instructions to at least: create an event processing network to represent a data store, the event processing network comprising a plurality of distributed nodes, each node configured to process events of an event stream; create a table component that represents a data store event of the data store; and implement an engine of the event processing network using the table component as an external relation source to: select, from the data store, particular data that corresponds to a particular event of the event stream; retrieve the particular data utilizing an application programming interface (API) method call; and add the particular data to the particular event.
14. A system, comprising: a memory storing a plurality of instructions; and a processor configured to access the memory, the processor further configured to execute the plurality of instructions to at least: create an event processing network to represent a data store, the event processing network comprising a plurality of distributed nodes, each node configured to process events of an event stream; create a table component that represents a data store event of the data store; and implement an engine of the event processing network using the table component as an external relation source to: select, from the data store, particular data that corresponds to a particular event of the event stream; retrieve the particular data utilizing an application programming interface (API) method call; and add the particular data to the particular event. 15. The system of claim 14 , wherein the engine of the event processing network is configured to identify the particular data based at least in part on a map.