Extending Presto at LinkedIn with a Smart Catalog Layer LinkedIn

Extending Presto at LinkedIn with a Smart Catalog Layer LinkedIn

In this talk, Walaa describes how LinkedIn extended its Presto Hive Catalog with a smart logical abstraction layer that is capable of reasoning about logical views with UDFs by using two core components, Coral and Transport UDFs. Coral is a view virtualization library, powered by Apache Calcite, that represents views using their logical query plans. Walaa shows how LinkedIn leverages Coral abstractions to decouple view expression language from the execution engine, and hence execute non-Presto-SQL views inside Presto, and achieve on-the-fly query rewrite for data governance and query optimization.

How Carbon uses PrestoDB in the Cloud with Ahana to Power its Real-time Customer Dashboards

How Carbon uses PrestoDB in the Cloud with Ahana to Power its Real-time Customer Dashboards

Carbon is a real-time revenue management platform that consolidates revenue and audience analytics, data management, and yield operations into a single solution. Real-time analytics is super critical – their customers rely on real-time data to make revenue decisions. After facing issues around performance, visibility & ease of use, and serverless pricing model with AWS Athena, the team moved to a managed service for PrestoDB in the cloud – Ahana Cloud – to power their customer-facing dashboards. In this session, Jordan will discuss some of the reasons the team moved from AWS Athena to a managed PrestoDB on Intel-optimized AWS instances. He will also dive into their current architecture that includes an Ahana-managed Hive Metastore along with Apache ORC file format and an S3-based data lake. Last, he’ll share some performance benchmarks and talk about what’s next for PrestoDB at Carbon.