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A data architecture for Digital Twins So, what kind of data architecture could one employ to model and process Digital Twins? To answer this, let's first expand the definition somewhat.
Big data is a moving target, and it comes in waves: before the dust from each wave has settled, new waves in data processing paradigms rise. Streaming, aka real-time / unbounded data processing ...
Upstream Tech has released a major update to its HydroForecast Seasonal streamflow forecasting tool unveiling a new model ...
Life happens as a continuous flow of events (a stream). Ted Dunning and Ellen Friedman describe new designs for streaming data architecture that help you get real-time insights and greatly improve ...
The Internet of Things continuously generates avalanches of raw sensor data to be transferred to the Cloud for processing and storage. Due to network latency and limited bandwidth, this vertical ...
Pipelining logs from source to topics. Topics are subscribed by consumer for real-time ml prediction and model training in parallel. TensorFlow.js. Construction of tensorflow model in node.js.
Apache Beam is an open source unified programming model for implementing and executing data processing pipelines, including Extract, Transform, and Load (ETL), batch, and stream processing. This book ...
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