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.

How to benefit from Data (warehouse) Automation using WhereScape in a Data Vault 2.0 environment.

In this session Erik Franssen and Petr Beles will show how to design the simplified architecture by focusing on data modelling with Data Vault and automating the data engineering process with Datavault Builder.

How does one move from a technology centric to an integrated data strategy? And how do we improve the data literacy of the stakeholders and ensure that the data products can be used effectively?

With the arrival of te new pension system in The Netherlands, APG is facing a serious challenge: How to convert the pension rights of millions of participants to the new pension scheme?

There is no one size fits all when it comes to machine learing, supervised or unsupervised and deep learning technologies. But what are the use cases for these, so when do you use traditional machine learning and when do you apply the latest techniques? [Video introduction]

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.