Denis Krivenko, Senior Data Engineer @ Coody
Today cloud service providers offer easy access to enterprise-grade data platforms for users at any scale, from individuals to multi-million corporations. However,
What if a public cloud cannot be used?
What if the solution should be cloud agnostic?
What if Hadoop or Data Warehouse are not considered as solutions?
In today’s cloud age, there has been an increased reliance on Kubernetes, which allows its adopters to deploy, scale, and manage incredibly complex solutions in a few minutes.
In this session, Denis will talk about how to leverage the power of Kubernetes to build a cloud native data platform.
He will share the case and the reasons to create an analytics data platform, walk through its architecture principles, deep dive into how to build the solution based on open source projects and adopt a GitOps approach.
