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Data Engineering

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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.

Members

leader
Dorran Howell
Guillaume Desforges
Maria Knorps
Nour El Mawass
Zhihan Zhang

Articles from this team on our blog

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