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Learn about PrestoDB's integration and role within HPE Ezmeral Unified Analytics in this 29-minute technical talk. Explore how PrestoDB functions as both a fast SQL query engine and secure data access layer within an end-to-end data & AI/ML platform. Discover the platform's comprehensive integration of popular open-source frameworks including Apache Spark, Apache Airflow, Apache Superset, MLFlow, Kubeflow, and Feast, all built on Kubernetes with built-in security features. Examine HPE's value-added enhancements to PrestoDB, particularly their distributed memory-centric columnar caching layer that enables both explicit and transparent caching of dataset fragments, resulting in 3x to 4x performance improvements. Gain insights into future developments, including proposals for making caching pluggable in PrestoDB and upcoming directional changes.
