Take spreadssheets, for example

What is a large corporate spreadsheet?  A step and skip graph, with integers.  It is easy to forget that simple fundamental.  Given the speed of join, we can imagine accounting based search graphs, traverse corporate accounts and extract peculiar summaries, with structure/  Very simple to write a comma separated file handler that will step and ski[p its way through a spread sheet, as long as the format can include the Dot and Parenth function, and the attachment distinguishes plain text and integer.

We can expand the function, search and distill from huge,and often, inaccurate accounting data. The key here is getting close to standard formats for profit and loss with accounting labels identifying subtended structure.  We get a kind of accounting language at a high level.  "total all accounts receivable then execute a peculiar statistical operation, and so on."  An attachment interpreting such a languagem will match labels, find sequences as needed, a very loose interpretation where data may be located in a variety of places,. Data may be unreliable.  The application relies on its power to step, fetch, match, collect on arbitrary spreadsheets.