The Power of Linked Data Event Streams and Timescale for Real-Time Management of Time-Series Data

This article discusses Linked Data Event Streams (LDES) and their integration with the Timescale database. LDES is a data event stream of a group of immutable objects described as machine-readable RDF, enabling different systems and applications to easily consume and act on data streams in a consistent and standardized way. The article shows how to effortlessly insert sensor data from an LDES into a Timescale database using Apache NiFi. It covers the configuration of a data flow to ingest an LDES into PostgreSQL, the use of version materialization to remove version information from LDES members, and the transformation of the data into a structured JSON file. The article also highlights the analysis that can be done with data in Timescale, including time-series visualization, anomaly detection, forecasting, and aggregation of time-series data.

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