Getting started with the new Redis HBO for Presto (Aug 30, 2023)

Getting started with the new Redis HBO for Presto (Aug 30, 2023)

Learn more about the new open-source Redis-based Historical Statistics Provider for Presto from Jay Narale, software engineer at Uber who built it. Redis is an open-source in-memory database that integrates with Presto through a dedicated connector. Now with a Redis history-based optimizer, you can enhance the efficiency and speed of query execution for Presto by using historical stats to generate optimized plans for your queries. Jay will cover how the Redis HBO utilizes the in-memory capabilities of Redis to store & analyze historical query execution data, which helps the optimizer make informed decisions about query planning and resource allocation based on the historical patterns of queries, leading to improved execution times and resource utilization.

PrestoDB in HPE Ezmeral Unified Analytics – Milind Bhandarkar, HPE

PrestoDB in HPE Ezmeral Unified Analytics – Milind Bhandarkar, HPE


HPE Ezmeral Unified Analytics is an end-to-end data & AI/ML platform that consists of several popular open-source frameworks for data engineering, data analytics, data science, & ML engineering in a well-integrated packaging. These open-source frameworks include Apache Spark, Apache Airflow, Apache Superset, PrestoDB, MLFlow, Kubeflow, and Feast. This platform is built atop Kubernetes and provides built in security. In this talk we will focus on the role of PrestoDB in Unified Analytics as a fast SQL query engine, and also as a secure data access layer. We will discuss some of our value-additions to PrestoDB, such as a distributed memory-centric columnar caching layer that provides both explicit and transparent caching for dataset fragments, often leading to 3x to 4x query performance. We will conclude by proposing to make caching pluggable in PrestoDB and discussing future directions.