Dr. Zoi Kaoudi

Open Source & founder

Dr. Zoi Kaoudi is a recognized researcher in distributed data processing and cross-platform query optimization. She is the PMC Chair of Apache Wayang and was instrumental in bringing the project into the Apache Software Foundation. Her work appears in leading venues including SIGMOD, VLDB and ICDE. At Scalytics she advances federated data processing and optimization techniques that enable AI to run directly where the data lives.

MultiContext: Cross-Cluster Data Processing in Scalytics

Enterprise data spans multiple clusters—Spark in AWS, Flink on-prem, Hadoop in GCP. MultiContext in Scalytics Connect enables single pipelines that process data across all clusters, optimizing execution placement automatically while maintaining consistent results.

Author:

Dr. Zoi Kaoudi

Scalytics FAQ: Data Platform Questions Answered

Get answers to common questions about Scalytics Connect: deployment options, supported data sources, integration patterns, pricing models, and comparison with alternatives. Essential reading before starting your federated data platform evaluation.

Author:

Dr. Zoi Kaoudi

Cross-Platform Analytics Benchmark: 10x Performance Gains

We benchmarked Scalytics Connect against standalone Spark, Flink, and Java across TPC-H and ML workloads. Results: cross-platform optimization delivered 7-10x faster execution on complex joins and 40% lower infrastructure costs through intelligent workload distribution.

Author:

Dr. Zoi Kaoudi

AI Query Optimizer: ML-Powered Data Processing Speed

Traditional query optimizers fail with cross-platform workloads. Our learning-based query optimizer uses machine learning to automatically select optimal execution plans across Spark, Flink, and Postgres—reducing query times by up to 10x on complex analytical workloads.

Author:

Dr. Zoi Kaoudi