As data products continue to mature, selecting the proper foundation is one of the most strategic, yet complicated, choices for contemporary firms. Snowflake’s and Databricks’ emergence redefined how firms handle, process, and extract value from data. However, as each platform becomes more comprehensive, their boundaries are diminishing, and a new set of dilemmas are arising for data and product leaders alike.
Please join our experts for a one-day workshop, as we explore how to assess, build, and scale data platforms aligned to your product strategy, technical vision, and business goals.
What You’ll Learn
- How Snowflake and Databricks differ in architecture, scalability, and ecosystem integration
- Strategic frameworks for deciding which platform is appropriate for your product lineup
- Real-world learnings concerning hybrid adoption and migration methodologies
- How data engineers and the product teams work together to speed up innovations
Who should attend:
Product managers, data engineers, architects, executives interested to know how data platforms influence long-term product development and strategy. Sign up today and see the future of data platform strategy for yourself hands-on.
