Stream Analytics Anomaly Detection
Ron C. L’Esteve · Apress eBooks · 2021
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 are interested in the concept of real-time anomaly detection using machine learning algorithms and operators.