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DataOps is a set of tools and principles to support delivery of trusted, high-quality data. Below is an overview of the current discussion topics within the DataOps Committee. Further updates will follow as the committee work develops.
- Identify Projects and tools in DataOps Space and get the community exposed to how these DataOps tools work together and where to use in the pipeline (with pros and cons).
- Exposure to industrial approaches for dataset metadata management, governance, and automation of flow.
- Understand usage of DataOps tools and practices through industrial use cases (by domain). Identify gaps in the use case implementation and discuss solutions to bridge the gap.
- Exposure to tools and technologies that can help control the usage of data and securely access it across the enterprise in a cloud native platform.
- Provide an opportunity for committee members to perform research in the DataOps space.
- Educate the community about new developments in the DataOps space.
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Meeting Content (minutes / recording / slides / other):
MLOps Committee Formation Proposal