Velociraptor – The Next Generation of RaptorX – Vladimir Rodionov, Carrot Cache

Velociraptor – The Next Generation of RaptorX – Vladimir Rodionov, Carrot Cache

Vladimir Rodionov, founder of Carrot Cache will present the Velociraptor – the next evolution of PrestoDB hierarchical caching framework RaptorX. Velociraptor enables efficient data and meta-data caching well beyond RaptorX limits in terms of number of data files (multi-billions), number of table partitions (multi-millions) and number of table columns (multi-thousands). Velociraptor replaces all five RaptorX caches (Hive meta-data, file list, query result fragments, ORC/Parquet meta-data and data I/O) with a scalable solution, based on Carrot Cache, which does not pollute JVM heap memory, does not affect Java Garbage Collector, keeps all data and meta-data off Java heap memory or on disk and can scale well beyond server’s physical RAM limit. Velociraptor supports server restart, by quickly saving and loading data to/from disk for automatic cache warm up.

Scalable Feature Engineering with Tecton on Athena – Derek Salama, Tecton

Scalable Feature Engineering with Tecton on Athena – Derek Salama, Tecton

Tecton is the leading feature platform for real-time machine learning. Rather than build new SQL engines from scratch, Tecton connects to your existing engine to transform raw data into features for machine learning. This talk will cover Tecton’s new integration with Athena for feature engineering. Derek will demonstrate how Tecton with Athena is the fastest way to build feature pipelines and put new models in production.