63 min listen
Simplify Your Data Architecture With The Presto Distributed SQL Engine
Simplify Your Data Architecture With The Presto Distributed SQL Engine
ratings:
Length:
54 minutes
Released:
Sep 7, 2020
Format:
Podcast episode
Description
Databases are limited in scope to the information that they directly contain. For analytical use cases you often want to combine data across multiple sources and storage locations. This frequently requires cumbersome and time-consuming data integration. To address this problem Martin Traverso and his colleagues at Facebook built the Presto distributed query engine. In this episode he explains how it is designed to allow for querying and combining data where it resides, the use cases that such an architecture unlocks, and the innovative ways that it is being employed at companies across the world. If you need to work with data in your cloud data lake, your on-premise database, or a collection of flat files, then give this episode a listen and then try out Presto today.
Released:
Sep 7, 2020
Format:
Podcast episode
Titles in the series (100)
TimescaleDB: Fast And Scalable Timeseries with Ajay Kulkarni and Mike Freedman - Episode 18: TimescaleDB: Fast and Scalable Timeseries On PostGreSQL (Interview) by Data Engineering Podcast