What is data engineering bug workflow?

Data engineering bug workflow refers to the process of identifying, tracking, and resolving bugs that occur in data engineering pipelines. This workflow involves different stages, such as detecting and isolating the issue, debugging and fixing the problem, testing the new solution, and deploying it to the production environment. Data engineers need to document the bug, communicate with the development team and stakeholders, and come up with long-term solutions to prevent similar issues. A systematic data engineering bug workflow ensures data accuracy, reliability, and consistency, reducing the risk of data disasters and ensuring data quality.

This mind map was published on 30 April 2023 and has been viewed 99 times.