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Communities & Learning
Technical Data Conference
★ 4.4
MLOps Learning Hub
★ 4.5
N/A — web platformN/A — web platformN/A — web platformN/A — web platformPython data engineers attend Data Council to see how leading engineering teams design their Python-based data infrastructure at scale. Conference talks on PySpark optimization, Airflow at scale, and Python ML pipeline architecture provide engineering depth rarely covered in blog posts, and the networking sessions connect practitioners across companies.
The MLOps Community is a learning and networking resource for Python data engineers working at the intersection of data engineering and machine learning. Engineers use the community to stay current with evolving MLOps tooling, get advice on pipeline architecture decisions, find resources for implementing feature stores and model monitoring, and connect with practitioners solving similar problems in production.
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