General concepts: time_bucket() and time_bucket_gapfill() functions
In this episode, Timescale team members Miranda Auhl and David Kohn dive into the time_bucket() and time_bucket_gapfill functions and explore what it is, how to use them, and how it works! ๐ ๐ฅ๐ฒ๐น๐ฒ๐๐ฎ๐ป๐ ๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ๐ ๐ Hyperfunction API documentation โ https://tsdb.co/gapfilling-interpolation ๐ time_bucket_gapfill() documentation โ https://tsdb.co/time-bucket-gapfill-docs ๐ time_bucket() documentation โ https://tsdb.co/time-bucket-docs ๐ฏ ๐๐ฏ๐ผ๐๐ ๐ง๐ถ๐บ๐ฒ๐๐ฐ๐ฎ๐น๐ฒ 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. ๐ป ๐๐ถ๐ป๐ฑ ๐จ๐ ๐ข๐ป๐น๐ถ๐ป๐ฒ! ๐ Website โ https://tsdb.co/homepage ๐ Slack โ https://slack.timescale.com ๐ GitHub โ https://github.com/timescale ๐ Twitter โ ย ย /ย timescaledbย ย ๐ Twitch โ ย ย /ย timescaledbย ย ๐ LinkedIn โ ย ย /ย timescaledbย ย ๐ Timescale Blog โ https://tsdb.co/blog ๐ Timescale Documentation โ https://tsdb.co/docs ๐ ๐๐ต๐ฎ๐ฝ๐๐ฒ๐ฟ๐: โฑ 0:00 โ Introduction โฑ 4:00 โ time_bucket() โฑ 41:56 โ time_bucket_ng() โฑ 58:22 โ outro

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