/plushcap/analysis/tecton/tecton-hidden-data-engineering-problems-in-ml

Hidden Data Engineering Problems in ML and How to Solve Them

What's this blog post about?

Tecton is a unified platform for building and serving features in machine learning, abstracting away the complexities of data engineering. It revolutionizes the way ML teams work with data by providing automated construction and orchestration of data pipelines, seamless integration of batch, streaming, and real-time data processing, managed compute and storage infrastructure, simplified generation of training data in production, addressing of training/serving skew, and robust serving infrastructure for inference. With Tecton, ML teams can focus on feature definition and model development, rather than getting bogged down in the intricacies of building, validating, and orchestrating pipelines. Teams like FanDuel, Plaid, and HelloFresh use Tecton to scale more ML applications with fewer engineers and build smarter models, faster.

Company
Tecton

Date published
June 10, 2024

Author(s)
Julia Brouillette

Word count
2092

Language
English

Hacker News points
None found.


By Matt Makai. 2021-2024.