Diving Deep into Sensor Data with TimescaleDB | Episode #1: Creating a Sensor Data Pipeline
Timescale Community Templates is a webinar series dedicated to specific industries and designed to foster collaboration and expertise exchange. This webinar is an introduction to the Timescale template for creating a sensors data pipeline. We'll cover the basics of setting up your data pipeline to ensure a smooth and efficient process for handling sensor data.
Recognizing the pivotal role of sensors in IoT, manufacturing, energy, and health, our next chapter focuses on these domains. Sensors generate vast amounts of time-series data, presenting both opportunities and challenges in data management and utilization. To address this, we're hosting four live sessions dedicated to building a strong foundation for working with sensor data using TimescaleDB.
📹 Other Sensor Data Sessions:
✨ Episode 1 - Creating a Sensor Data Pipeline ⇒ (current)
✨ Episode 2 - Data processing with Hierarchical continuous aggregates ⇒ • Diving Deep into Sensor Data with Tim...
✨ 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
📌 Office Hours ⇒ https://tsdb.co/officehours
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Timescale is a mature, PostgreSQL cloud, specialized for demanding workloads like time series, events, analytics, vectors, and AI. Timescale is dedicated to serving software developers and businesses worldwide, enabling them to build the next wave of computing.
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🔍 Website ⇒ https://tsdb.co/website
🔍 Slack ⇒ https://slack.timescale.com (#discussion-sensors)
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🔍 Timescale Documentation ⇒ https://tsdb.co/doc
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⏱ 0:00 ⇒ Introduction
⏱ 5:39 ⇒ Part 1: Minimal structure / Hypertables
⏱ 8:02 ⇒ Part 2: Community model by F. Etchezar (installation, signal, sample, query)
⏱ 24:58 ⇒ Part 3: More examples (generic metrics system, data input flexibility, data lifecycle flexibility, data type flexibility)
⏱ 29:15 ⇒ Part 4: Options
⏱ 29:40 ⇒ Part 5: Template Overview: Add Sensors Kickoff
⏱ 33:22 ⇒ Part 6: Chunk time interval (Compression, Compression policies, Hierarchical Continuous Aggregates)
⏱ 41:50⇒ Part 7: Performance tradeoffs
⏱ 43:35 ⇒ Outro
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