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Data Engineering

Data is the key input for software systems and decision-making processes.

Effective tools and engineering practices for storing, aggregating, and refining data with machine learning are essential for maximizing its value.

Data engineering solutions should be reliable, correct, and perform at scale. We apply DataOps, MLOps, and functional programming principles to make this a reality.

Resources
Members
Dorran Howell
Dorran Howell
Guillaume Desforges
Guillaume Desforges
Johann Eicher
Johann Eicher
Maria Knorps
Maria Knorps
Mohamed Nidabdella
Mohamed Nidabdella
Nour El Mawass
Nour El Mawass
Zhihan Zhang
Zhihan Zhang
Articles from this team on our blog
25 May 2023
PBT and the Ghost in the Machine
Commandeering techniques from richly typed, functional languages into Python for fun and profit. In this episode: Testing strategies.
pythonprogramming-languagestutorial
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