Visualize time series data with TimescaleDB and Apache Superset

Описание

Did you know you can use TimescaleDB as a backend for Apache Superset? Learn how to create fast dashboards using TimescaleDB continuous aggregates and how to use TimescaleDB functions with/inside Superset (eg time_bucket, first/last, other hyperfunctions).

? ?????? ????, Developer Advocate at Timescale
? ????? ????????, Developer Advocate at Preset

? ???????? ?????????
? Apache Superset ⇒ https://superset.apache.org/
? Continuous aggregates docs ⇒ https://tsdb.co/cont-aggregates
? Real-time aggregates ⇒ https://tsdb.co/real-time-aggs
? Try Preset Cloud ⇒ Preset.io/product

? ????? ?????????
At Timescale, we are dedicated to serving developers worldwide, enabling them to build exceptional data-driven products that measure everything that matters. Analyzing this data across the time dimension ("time-series data") enables developers to understand what is happening right now, how that is changing, and why that is changing. We are backed by top-tier investors with a track record of success in the industry.

? ???? ?? ??????!
? Website ⇒ https://tsdb.co/homepage
? GitHub ⇒ https://github.com/timescale
? LinkedIn ⇒ https://www.linkedin.com/company/timescaledb
? Slack ⇒ https://slack.timescale.com
? Twitter ⇒ https://twitter.com/timescaledb
? Twitch ⇒ https://www.twitch.tv/timescaledb
? Timescale Blog ⇒ https://tsdb.co/blog
? Timescale Documentation ⇒ https://tsdb.co/docs

? ????????:
⏱ 0:00 ⇒ Introduction
⏱ 3:06 ⇒ What is Apache Superset
⏱ 6:50 ⇒ Two main workflows: Explore and SQL Lab
⏱ 10:58 ⇒ Time-series visualization types
⏱ 17:20 ⇒ Preset Cloud
⏱ 20:34 ⇒ Continuous aggregates: the foundation for fast dashboards
⏱ 31:10 ⇒ Building a time-series dashboard using stocks data
⏱ 1:06:17 ⇒ Outro