Connecting SQL Data Platforms to Modern Applications

Many organisations have mature data platforms but struggle to connect them cleanly to application workloads that require richer data interactions. This session explores how SQL-centric systems and modern analytics platforms were integrated to support intelligent application behaviour without introducing excessive coupling or operational risk.

We’ll examine how SQL Server workloads, Snowflake, and Databricks were used for different stages of the data lifecycle, and how application teams consumed those platforms in a controlled and maintainable way. The session focuses on practical integration challenges, including latency, ownership boundaries, and operational support, rather than tool features.

After this session, attendees will be able to: Understand integration challenges between data platforms and applications Choose appropriate data access patterns for different workloads Avoid common pitfalls when sharing data across teams Improve collaboration between data and application disciplines