DevOps

Free Video Training: Doing DevOps in the Data Science World

In this video, we emphasize the need for a self-service data platform to enable data science

Why watch this video training?

Many enterprises that want to become a data-driven organization start a separate data team in isolation. For the 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 organization, data science needs to be integrated into the organization and data scientists (and analysts) need to be able to use a mature self-service platform to develop their models.

In this video, 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.

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.
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