Videos Archive - Page 3 of 3

Prism: Presto Gateway Service at Uber – Hitarth Trivedi, Uber

Prism is a gateway service for all Presto queries at Uber. It addresses Uber specific needs in four main areas – resource management, query gating, monitoring, and security. It is responsible for proxying over three million weekly queries from 6000+ weekly active users across all of Uber. Presto has variable execution times due to high multi-tenancy at Uber. Prism helps in overcoming those challenges using features like query routing, load balancing, query gating, session parameter checks, failover clusters which helps in maintaining a 99.9% availability and reliability SLA for Presto at Uber. Functionality – Query Execution: 1. Async execution API returns data stream 2. Async execution API returns File Descriptor – Routing – Prism can route queries to different clusters based on client sources. Other functionalities: Load Balancing, Query Gating, Failover, Session Properties, Security

Petabyte Scale Log Analysis at Alibaba: Infrastructure, Challenge and Optimization – Yunlei Ma

Yunlei will share the infrastructure for petabytes scale log data collection, storage and analysis at Alibaba . Presto plays a key role in the infrastructure. Presto processes over hundreds of billions of query, about over 1 quadrillion rows every day .

Presto and Apache Iceberg – Chunxu Tang, Twitter

Apache Iceberg is an open table format for huge analytic datasets. At Twitter, engineers are working on the Presto-Iceberg connector, aiming to bring high-performance data analytics on Iceberg to the Presto ecosystem. Here, Chunxu would like to share what they have learned during the development, hoping to shed light on the future work of interactive queries.

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.

Level 102 for Presto: Getting Started with PrestoDB

In this tech talk, we’ll build on what we learned in Level 101 and show you how easy it is to get started with PrestoDB. We’ll also dive deeper into key features and connectors.

Level 103 for Presto: Deep Dive into the PrestoDB architecture at Twitter

In this tech talk, we’ll take a look at the PrestoDB architecture in more technical depth. Next, we’ll have the Presto engineers at Twitter share their PrestoDB use case and architecture which includes several large Presto clusters with over 2,000 nodes.