DevOps for datascience?
Many enterprises that want to become a data-driven organisation start a separate data team in isolation. For first exploration of data science and understanding its potential, that is fine. However, to become successful with data and deliver the promises of a data-driven organisation, data science needs to be integrated in the organisation and data scientists (and analysts) need to be able to use a mature self-service platform to develop their models.
Why should you watch this webinar?
In this webinar we emphasize the need for a self-service data platform to enable data science and we discuss approaches how to organise data science in an enterprise setting using DevOps principles, so that enterprises can accelerate delivering business value using data.
Register using the form on the right hand side 👉
And watch the webinar on-demand as you like.
Key takeaways
● Understand what DevOps principles are and what their value is
● Understand the benefits of adopting DevOps principles in the data science world
● Understand what a modern and mature data platform is
● Understand how to organise your data science teams and what dilemma's need to be taken into consideration.
Speakers:
Marco Lormans is an IT consultant and coach at Xebia IT Architects. He is active in IT from 2001 and has extensive experience in the area of IT architecture, continuous delivery and DevOps. He is specialised in building mature data platforms, development of data applications and embedding this technology in the enterprise.
Marcel Jepma is an IT consultant that has been involved with architecting mature (data) platforms for the last couple of years.