DataOps – best practices and lessons learned

In practice, DataOps is not as common for data & analytics as DevOps is for software engineering. For the latter, Development and Operations are jointly responsible for developing a system, deploying it and maintaining the system. With the aim of delivering faster, being more agile and creating maximum business value. This is where DataOps is the same as DevOps: the objective is similar. But ‘How’ we do this, differs considerably.

Responsible Data Science

How do you embed ‘responsible’ data science and ethics in your projects and applications? Lecturers at Hogeschool Rotterdam, Tanja Ubert en Gabriella Obispa, will share which questions you should ask yourself and offer an approach to responsible data science.