Completing the Machine Learning Loop: MLOps and Pachyderm

Completing the machine learning loop is fundamental to the progression of AI software.
It requires the unification of code and data.
Managing these two components will require processes and tooling to ensure that data bugs can be corrected just as quickly as code bugs.
For more details see the original blog post: Intro to Dataset and Model Versioning: Author: Pachyderm is cost-effective at scale enabling data engineering teams to automate complex pipelines with sophisticated data transformations across any type of data.
Our unique approach provides parallelized processing of multi-stage language-agnostic pipelines with data versioning and data lineage tracking.
Pachyderm delivers the ultimate CICD engine for data. Follow us to stay up-to-date on the latest data science trends: Pachyderm Website: GitHub: LinkedIn: Twitter:

Источник: rutube.ru