Dataiku - ja-guzzle/guzzle_docs GitHub Wiki

Table of Contents

Overview

  1. Meant for Data scientist
  2. very quickly build data pipeline
  3. Uses a very business friendly ways - example when you want to build a dataset, it will ask you whether to do current one, or recursively (go back and build all upstream - and in that case whether to do smartly or burteforce)
  4. They call it "Recipes" to what you are trying to do with the data 1, This one just gives what happens under the hood: https://academy.dataiku.com/latest/concepts/where-compute-happens.html

Marketplace

  1. Simple, VM based approach. Gets you up in 3 minutes.
  2. Login and it will ask you for licence or what..

UI and others

  1. Simple terms - this one is a sync activity , just to clone to another target (they call it connections) image

Admin UI

Again they have covered the whole breadh - from user secretes management, to house-keeping of temp files/datasets, to download log files and diagnostic pack image image image

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