Summarization methods can interact on a common data source using identifiers that correspond to events or other actions. These identifiers can be updated, whenever appropriate, once the corresponding data has been summarized, in order to provide for multiple extraction methods to operate only on the data of interest, and obtain a lock only on the data within the scope of extraction. High water marks, such as identifiers in the sequent, can be used to further designate which data has previously been extracted. Similarly, summarization methods can interact by utilizing corresponding persistent tables in the flows for the methods, but utilizing separate intermediate tables to allow for data transformations and application of various business rules and tuning techniques. The ability to switch between different methods can accommodate business, performance, or other such needs, and can provide for the dynamic extraction and summarization of different volumes of data.