Drawing from fresh enterprise survey data and real-world customer migration benchmarks, this session breaks down:
The hidden financial and human toll of running decoupled compute layers over static storage, from network egress fees to engineering burnout.
Why the agentic era requires in situ processing, executing analytical queries, vector search, and model reasoning directly where data natively lives.
Practical architectural patterns for modernizing Apache Spark workloads, embracing open formats like Apache Iceberg, and leveraging AI-assisted tooling to compress migration timelines from years to weeks.