Adi Polak
Adi is an experienced software engineer and people manager. For most of her professional life, she dealt with data and machine learning for operations and analytics. As a data practitioner, she developed algorithms to solve real-world problems using machine-learning techniques and leveraging expertise in Apache Spark, Kafka, HDFS, and distributed large-scale systems. As a manager, she led teams, and together they embarked on innovative journeys in the ML space and came back with staggering insights and learnings. Adi has taught Spark to thousands of students and is the author of the successful book - Scaling Machine Learning with Spark. Earlier this year, she began a new adventure with data streaming, specifically Flink and ML inference, and is hooked.
Events
| Title | Day | Room | Track | Start | End |
|---|---|---|---|---|---|
| Exactly-Once Event Processing E2E: Bridging Apache Flink and Kafka for Reliable Data Streams |
Saturday | UB5.132 | Data Analytics | 12:30 | 13:00 |