Data Processing with Hierarchical CAGGs | Diving Deep into Sensor Data with Timescale #2

​A deep dive into data processing with hierarchical continuous aggregates. This session will explore strategies for managing and analyzing sensor data more effectively, allowing for faster insights.

• ​Link to Zoom webinar: https://timescale.zoom.us/j/91931265850?pwd%3DVXNreFU5NUx5VWVnbzdGdGVyT1B4dz09

  • ​Passcode: tsdb

• ​Unveiling the New Timescale Community Templates: https://tsdb.co/templates-blog

• ​GitHub Repo: https://github.com/timescale/templates

• ​Website: https://tsdb.co/website

• ​Office Hours: https://tsdb.co/officehours

​Get notified for upcoming events:

• ​Link to calendar invite: https://timescale.zoom.us/webinar/tJUkdOiqqD4iH9RvXeLbeBba5dToGFkFvR2J/ics?icsToken=98tyKuCppzgrGNKQuByHRowcHYjCd-rwpiVHgvpviifgLyJWQAH3Y-Z2PZVZG_7G

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​Other session(s):

• ​Diving Deep into Sensor Data with TimescaleDB | Episode #1: Creating a Sensor Data Pipeline

• ​Data Processing with Hierarchical CAGGs | Diving Deep into Sensor Data with Timescale #2 (coming soon)

• ​March 27 - Query performance and Downsampling techniques (coming soon: https://lu.ma/dqu4zna7)

• ​April 3 - Policies for Compression and Retention (https://lu.ma/dqu4zna7)

​Other sessions:

• ​ Diving Deep into Sensor Data with TimescaleDB | Episode #1: Creating a Sensor Data Pipeline

• ​Diving Deep into Sensor Data with TimescaleDB | Episode #2: Data Processing with Hierarchical CAGGs

• ​Diving Deep into Sensor Data with TimescaleDB | Episode #3: Query Performance & Downsampling

• ​Episode 4 - Policies for Compression and Retention ⇒ (coming soon: https://lu.ma/dqu4zna7)