Leveraging DataOps Principles for Efficient Data Management in Cloud Environments

Abstract

This paper explores the synergy between DataOps principles and efficient data management in cloud environments. It delves into how DataOps practices, rooted in DevOps methodologies and CI/CD pipelines, can be leveraged to automate data workflows, ensure high-quality data, and achieve cost optimization within the cloud. The paper details core DataOps principles like Infrastructure as Code (IaC), version control, and continuous integration and delivery (CI/CD) for data pipelines. It explores the importance of collaboration, communication, and automated data testing for robust data management. Furthermore, the paper discusses the benefits of DataOps in the cloud, including improved data quality, faster time-to- insights, and enhanced collaboration. It concludes by outlining future trends in DataOps and cloud data management, highlighting the increasing role of automation, security, and the convergence with MLOps.