The need to process big data real-time streams is becoming an increasing need for many businesses. Customers in numerous industries are seeking to harness the power of real-time big data to unlock valuable insights. They are seeking an easy-to-use, flexible, reliable, and scalable solution to process and transform streams of real-time data for their IoT projects. Additionally, along with these big real-time data streams come anomalies in the data. Customers in a variety of industries ...
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2021
R. C. L'EsteveThe Definitive Guide to Azure Data Engineeringhttps://doi.org/10.1007/978-1-4842-7182-7_1616. Stream Analytics Anomaly Detection
Ron C. L’Esteve1
(1)
Chicago, IL, USA
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