Visualize time series data with TimescaleDB and Apache Superset
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).
🎤 𝗔𝘁𝘁𝗶𝗹𝗮 𝗧𝗼𝘁𝗵, Developer Advocate at Timescale
🎤 𝗦𝗿𝗶𝗻𝗶 𝗞𝗮𝗱𝗮𝗺𝗮𝘁𝗶, Developer Advocate at Preset
🛠 𝗥𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀
📌 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
🐯 𝗔𝗯𝗼𝘂𝘁 𝗧𝗶𝗺𝗲𝘀𝗰𝗮𝗹𝗲
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.
💻 𝗙𝗶𝗻𝗱 𝗨𝘀 𝗢𝗻𝗹𝗶𝗻𝗲!
🔍 Website ⇒ https://tsdb.co/homepage
🔍 GitHub ⇒ https://github.com/timescale
🔍 LinkedIn ⇒ / timescaledb
🔍 Slack ⇒ https://slack.timescale.com
🔍 Twitter ⇒ / timescaledb
🔍 Twitch ⇒ / timescaledb
🔍 Timescale Blog ⇒ https://tsdb.co/blog
🔍 Timescale Documentation ⇒ https://tsdb.co/docs
📚 𝗖𝗵𝗮𝗽𝘁𝗲𝗿𝘀:
⏱ 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
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