Unlocking the Power of Time Series Databases for Industrial and Robotic Systems

In this episode, Doug Pagnutti, Developer Advocate at Tiger Data, discusses how time series databases like TimescaleDB are transforming industrial automation, robotics, and AI applications. He shares insights on integrating these databases with various sensors, managing data at scale, and optimizing performance both on the cloud and on the edge.

Key Topics:

- The role of time series data in robotics and industrial automation

- How TimescaleDB extends PostgreSQL for high-performance time series workloads

- Differences between open source and managed cloud versions

- Strategies for integrating various industrial controllers and messaging pipelines

- Techniques for managing intermittent connectivity with edge devices

- Advanced tools like continuous aggregates and data compression for big data

- Enabling multimodal data queries with hybrid search stacks

- Future applications of time series data in AI-driven environments and energy systems

- Best practices for storing telemetry, spatial, and metadata efficiently

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