Analyzing NFL play-by-play data using PostgreSQL and TimescaleDB – Miranda Auhl
In this session, Miranda Auhl, Developer Advocate at Timescale, analyzes NFL play-by-play data using TimescaleDB features like continuous aggregates and hyperfunctions.
🛠 𝗥𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀
📌 Hyperfunctions docs ⇒ http://tsdb.co/docs-hyperfunctions
📌 Continuous aggregates ⇒ http://tsdb.co/continuous-aggregates
📌 Stats aggregation ⇒ http://tsdb.co/stat-agg-docs
📌 Continuous aggregates YouTube playlist ⇒ http://tsdb.co/continuous-aggregate-y...
📌 NFL tutorial ⇒http://tsdb.co/nfl-data-tutorial
📌 Hacking NFL data with PostgreSQL, TimescaleDB, and SQL ⇒ https://blog.timescale.com/blog/hacki...
🐯 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
🔍 Slack ⇒ https://slack.timescale.com
🔍 GitHub ⇒ https://github.com/timescale
🔍 Twitter ⇒ / timescaledb
🔍 Twitch ⇒ / timescaledb
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🔍 Timescale Blog ⇒ https://tsdb.co/blog
🔍 Timescale Documentation ⇒ https://tsdb.co/docs