Diving Deep into Sensor Data with TimescaleDB | Episode #2: Data Processing with Hierarchical CAGGs
Timescale Community Templates is a webinar series dedicated to specific industries and designed to foster collaboration and expertise exchange. In this session, Timescale Developer Advocate, Jônatas Paganini, will take a deep dive into data processing with hierarchical continuous aggregates (Timescale’s supercharged version of Posgres materialized views). This session will explore strategies for managing and analyzing sensor data more effectively, allowing for faster insights.
📹 Other Sensor Data Sessions:
✨ Episode 1 - Creating a Sensor Data Pipeline ⇒ • Diving Deep into Sensor Data with Tim...
✨ Episode 2 - Data processing with Hierarchical continuous aggregates ⇒ (current)
✨ Episode 3 - Query performance and Downsampling techniques ⇒ https://lu.ma/1e0fvk8z
✨ Episode 4 - Policies for Compression and Retention ⇒ https://lu.ma/dqu4zna7
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📌 More on Timescale Community Templates ⇒ https://tsdb.co/templates-blog
📌 GitHub Templates ⇒ https://github.com/timescale/templates
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📚 𝗖𝗵𝗮𝗽𝘁𝗲𝗿𝘀
⏱ 0:00 ⇒ Introduction
⏱ 2:13 ⇒ Configuration to start
⏱ 7:57 ⇒ Hierarchical Continuous Aggregation Overview
⏱ 8:50 ⇒ Part 1: Interval & Granularity
⏱ 12:28 ⇒ Part 2: Watermarks
⏱ 18:48 ⇒ Part 3: Invalidation Logs
⏱ 22:53 ⇒ Part 4: Materialized-only strategies (Demo)
⏱ 28:45 ⇒ Part 5: Toolkit Aggregations
⏱ 33:22 ⇒ Part 5: Retention Policies
⏱ 34:26⇒ Part 6: Compression Policies
⏱ 35:25⇒ Q&A (includes Hierarchical CAGGs tip)
⏱ 38:05 ⇒ Outro
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