DataOps
DataOps is an automated, process-oriented methodology, used by analytic and data teams, to improve the quality and reduce the cycle time of data analytics. While DataOps began as a set of best practices, it has now matured to become a new and independent approach to data analytics. DataOps applies to the entire data lifecycle from data preparation to reporting, and recognizes the interconnected nature of the data analytics team and information technology operations.
Here are 6 public repositories matching this topic...
Landscape of technologies and concepts for DevOps and its related fields, with their history; A mirror of https://gitlab.com/jimyoshida/dx-devops-landscape
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Dec 25, 2025 - JavaScript
gliff.ai SUPPORT – a user documentation for the gliff.ai platform: user-friendly interface for curating, annotation and collaborating with imaging dataset for the purposes for machine learning development.
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Apr 1, 2024 - JavaScript
This repository contains the GlueOps documentation website built using Docusaurus 2. It provides comprehensive guides and tutorials for deploying and managing applications using the GlueOps platform. The site includes setup instructions, configuration details, and best practices for GitOps workflows.
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Dec 30, 2025 - JavaScript
DataOps Architecture and Central Data Repository for a modern Fintech product
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Dec 2, 2025 - JavaScript
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Jan 11, 2026 - JavaScript
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