Web 3.0 as explained by Lubin, «Instead of the client - server architecture where you've got one company, say Google or Facebook, that has a bunch of servers and we're interacting with them as a counter-party, this new
kind of application paradigm has all the different nodes on the network and they are all effectively the back end of the application.
The endless streams
of data generated by
applications lends its name to this
paradigm, but also brings some hard to deal with requirements to the table: How do you deal with querying semantics and implementation when your data is not finite, what
kind of processing can you do on such data, and how do you combine it with data from other sources or feed it to your machine learning pipelines, and do this at production scale?