DataOps, short for Data Operations, is a process or set of practices which focuses on enhancing quality, efficiency, and reliability of data-driven processes within an organisation. It combines the aspects from software development, data engineering, and operations to manage the data in a streamlined and collaborative approach.
Data management associates with lot of challenges, such as data integration, data quality, data governance and data delivery. DataOps aims to address these data management challenges, by emphasising continuous integration, continuous delivery and automation enabling faster and reliable data pipelines.
By adopting DataOps methodology or practices,
- organisations can enhance and optimise their data infrastructure
- enables collaboration between cross-functional application data teams
- improves timeliness and data quality, and
- accelerate their delivery of data driven insights and applications
Overall DataOps practices can lead to more informed decision-makings, improved efficiency in performing operations, and resulting better business outcomes.
