In many disciplines, data are highly decentralized across thousands of online databases (repositories, registries, and knowledgebases). Wringing value from such databases depends on the discipline of data science and on the humble bricks and mortar that make…

It is common in data engineering to find that we have too much data. Thus engineers commonly seek compression routines. At the same time, random identifiers are handy. Maybe you have many users or transactions and you want to assign each one of them a unique…

Source-level debuggers devote much interface real estate to program identifiers. To avoid ambiguity we often want to display fully qualified identifiers (e.g. including namespace/module names and the parameters of generic types), but these are often very…