Target Audience:
This session is aimed at data engineers, architects, and decision-makers looking to better understand today’s data platform landscape.
In this webinar, we will explore what a modern data platform really is and how different technologies support different organizational needs. We will look at Databricks, Microsoft Fabric, and Snowflake, focusing on what each platform is designed for, where it performs well, and where it may be less suitable.
We will walk through the key differences between the platforms in terms of:
architecture, scalability, governance, AI and analytics capabilities, and cost models
The aim it to help clarify how they compare in practice, beyond just marketing material.
Finally, we will touch on an important modern principle: being platform agnostic. Modern data platforms are often designed to reduce lock-in by separating core logic from the underlying technology.
We’ll also briefly discuss why a multi-platform setup can be a valid approach, where different platforms are used side by side to support different use cases within the same organization.
📅 12. March 2026 | 🕙 10.00am - 11.00am | 📍 Live webinar
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What will you get from the webinar?
Listen in for 1 hour and get::
✔ Overview of the three predominant dataplatforms in the market
✔ Inspiration on how to get started on the journey with modern dataplatforms
✔ Intro to what really matters when preparing your data platform for analytics and AI
This session is aimed at data engineers, architects, and decision-makers looking to better understand today’s data platform landscape.
12. March 2026
10.00am - 11.00am
Datastrategy, Databricks, Fabric, Snowflake, AI