EcZachly/little-book-of-pipelines
This repository goes over how to handle massive variety in data engineering
Scala
Stargazers
- bAcheron
- balthapaixaoData Engineer at PCDaS
- bangarharshitTwitter
- Bilbottom
- bjdeng
- brianmoriPlanet Earth
- dauphidev
- davidlin2kCanada
- ddhar1Berkeley, CA
- devigmr
- douggkim
- EngineeringErgonomics
- Golder12
- greed2411@skit-ai
- gustschaeferAnheuser-Busch InBev
- hagopjay
- IMARVIMexico
- JibbscriptIBM
- JPHaus@AdmitHub
- jpurrutia
- kamareeeRMIT University
- Lwhieldon@SCHGroup
- MatDeiberPerth, Australia
- nguyendinhlam88
- nicktifySanta Fe, Argentina.
- NicolasGuaryBeamy
- originalwrapper
- PavloLobachovSigma Software
- prateekralhan@SwissRe
- s2k14Ireland
- shrutitawareSan Francisco, CA, United States
- sjejurkar
- suarzacBICP w/ Nike
- thomaschung408https://github.com/mage-ai/mage-ai
- usmanakram232@ginmon
- wheeelman