Mike Freedman (Timescale) delivers the talk, "TimescaleDB: Re-Engineering PostgreSQL as a Time-Series Database", on DAY 2 of the Percona Live Open Source Database Conference 2018, 4/25, at Santa Clara, CA.

Time-series data is now everywhere and increasingly used to power core applications. It also creates a number of technical challenges: to ingest high volumes of data; to ask complex, queries for recent and historical time intervals; to perform time-centric analysis and data management. And this data doesn't exist in isolation: entries are often joined against other relational data to ask key business questions.

In this talk, I offer an overview of how we re-engineered TimescaleDB, a new open-source database designed for time series workloads, engineered up as a plugin to PostgreSQL, in order to simplify time-series application development. Unlike most time-series newcomers, TimescaleDB supports full SQL while achieving fast ingest and complex queries. This enables developers to avoid today's polyglot architectures and their corresponding operational and application complexity.

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