Data Integration and Self-Service best practices

Data Integration and Self-Service focus on the development and delivery of data throughout its life cycle, handling inbound and outbound data processing and facilitating data access.

The following is a list of best practices in data processing and Self-Service data access.

Best practice 10

Apply DataOps principles to the development and delivery of data.

DataOps is a best practice framework that accelerates the development of data and quality across its entire life cycle with high efficiency and quality. This is especially important when integrating data across distributed complex systems and environments. Concepts such as quality control, version control, data orchestration, continuous integration/continuous deployment (CI/CD), automated testing, automated deployments, and data monitoring are applied to data and metadata. Feedback loops establish an open communication channel for customers to drive ongoing quality improvements...