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ChatOps WG 2018/01 - Data

Research on Data Lake philosophy & simplified interfaces as one way to make easier less specialized coworkers to bootstrap intelligent agents. Read chatops-wg#32 initial motivation.


Philosophically speaking: we have a Humans + Intelligent Interface + machines working as team, where who do DevOps optimize for the full team. This approach is similar to NoOps, but we try abstract even more to a point where is need coworkers with less required knowledge on the underline technology but higher focus on the human side. (e.g. instead of develop considering support a full team of 10+ software developers in todays NoOps, do the infrastructure for a team of 1 or 2 voluntaries with IT background supporting pro-bono people from different skills, like social scientists, psychologists, social work assistant, etc).

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