4 ms·

I'm very curious about what kinds of problems these are. Any chance you can give us an idea?

• ggm 8y ago
  Typically processing data from logs, analyses of SQL state changes in the absence of good knowledge of the prior states. Some stuff which is aggregation over disparate inputs where a DSL can be useful. A lot of the time radix trees and other prefix/length matching logic is being used. Sometimes we're cross correlating different sources against disparate common keys. Some stuff connecting type: value record structures into JSON. We work a lot on ill-formed requests to refine data previously worked on with new questions. We work a lot on small distributed systems exploring eventual consistency and event sourcing. We work with quite large logfiles collected asynchronously, with poor clock alignment. So data buffering and sorting is not uncommon.