Jana Giceva Technical University of Munich
Jana Giceva is recognized for visionary contributions to building data systems whose core software abstractions decouple logical intent from physical hardware microarchitectures, advancing the flexibility, extensibility, and performance of data systems across evolving workloads and hardware platforms.
Juliana Freire New York University
Juliana Freire is recognized for pioneering contributions in provenance, reproducibility and urban data science, and for transformative leadership in the data management community.
"The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-scale, Unbounded, Out-of-order Data Processing" is recognized for establishing the foundational vocabulary and conceptual framework — watermarks, triggers, and flexible windowing — that define modern stream processing, directly shaping Apache Beam and influencing the design of Flink and Spark Structured Streaming, while continuing to anchor academic work on streaming semantics a decade later.