Frequency, location and style of meetings, who should attend. To include standups/sprint meetings, code review methods and end of project review.
Incorporating an Agile approach forms an integral aspect of the Data Engineering development process. By dividing the development cycle into smaller segments, iterations, and sprints, Agile methodologies enable engineers and data specialists to collaborate seamlessly with the wider team. This facilitates prompt identification and rectification of features and errors as they arise. The primary objective of this approach is to swiftly deliver new DataMart features while maintaining quality standards.
Consequently, this method proves to be less time-intensive, as it addresses errors early in the development phase, thereby mitigating the risk of compounding issues. Furthermore, it requires less managerial oversight. Effective team communication and proactive stakeholder involvement accelerate the process and cultivate informed decision-making.
Data Engineering operates within a weekly sprint framework, with an integrated review period extending the effectiveness of the sprint delivery to a bi-weekly cycle. This incorporation allows for a more comprehensive assessment of progress and ensures a refined output within the two-week sprint timeline.
The Data Engineering and Analysis Working Group currently reviews the Sprint Plan on Tuesday morning, with Backlog Refinement on Thursday.