The term streaming data pipelines is at home in the areas of big data and smart data, digital transformation and artificial intelligence. It describes a technology in which huge amounts of data are processed in real time. Instead of waiting for all the data to be collected, companies can continuously analyse information and react immediately.
Imagine a factory in which machines are constantly sending sensor data - on temperature or speed, for example. A streaming data pipeline makes it possible to record these values directly, process them and immediately trigger a warning signal in the event of anomalies such as overheating. This prevents breakdowns and increases efficiency.
This process is particularly important today for companies that want to make decisions quickly and utilise up-to-date information, for example in production, online retail or when monitoring networks. Streaming data pipelines help to tame large data streams and gain useful insights almost in real time.
This makes companies more agile and gives them a competitive advantage - especially when a lot of data from different sources needs to be analysed at the same time.
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