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How to scale infinite and complex IoT data

Discover best practices for data aggregation, compression, and indexing to optimize IoT data processing.

Jeff Tao, Founder, CEO, and Core Developer of TDengine, shares strategies for effectively scaling and managing complex IoT data. He emphasizes the need for scalable architecture, real-time processing, and efficient data storage solutions to handle the vast amounts of data generated by IoT devices. Tao outlines best practices for data aggregation, compression, and indexing to ensure optimal performance and cost-efficiency. These insights are crucial for organizations looking to harness the full potential of IoT data.

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VentureBeat
TDengine
Data

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