DataOps vs. MLOps: Similarities, Differences, and How to Choose
2 min read - What is DataOps? DataOps, short for Data Operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data management processes. It aims to streamline the entire data lifecycle—from ingestion and preparation to analytics and reporting. By adopting a set of best practices inspired by Agile methodologies, DevOps principles, and statistical process control techniques, DataOps helps organizations deliver high-quality data insights more efficiently. The main objectives of DataOps include: Collaboration: Facilitating better communication between different teams…