Enhancing Collaboration and Efficiency in DataOps With Git

Recently, ChatGPT has gained popularity, sparking a wave of enthusiasm for large-scale model products. As a result, major companies have been introducing or planning to launch their own large-scale model products. As someone who witnessed the previous AI wave, I have been thrilled because I have always hoped that AI could intelligently handle complex data governance tasks, freeing data professionals from cumbersome data operations.

DataOps is an agile data management methodology that accelerates the entire data collaboration process by automating workflows, standardizing processes, and promoting collaboration and monitoring. It aims to improve data quality, data security, and the management and utilization of data resources, resulting in higher efficiency and better business performance.