May 1, 2024
4 minute read
Event processing is a data analytics technique that involves the collection, processing, and analysis of real-time data streams to identify patterns, anomalies, correlations, and other meaningful information. Event processing systems are designed to handle large volumes of data from a variety of sources, including sensors, logs, and social media feeds.
Event Processing Applications
Event processing has a wide range of applications in various industries, including:
2mikte|
Find a path to becoming a Event Processing. Learn more at:
OpenCourser.com/topic/2mikte/event
Reading list
We've selected two books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Event Processing.
Provides a comprehensive overview of event processing for healthcare. It covers the concepts, technologies, and applications of event processing for healthcare and valuable resource for anyone who wants to learn more about this topic.
Practical guide to event streams. It provides a good overview of the concepts and technologies of event streams and valuable resource for anyone who wants to learn more about this topic.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/2mikte/event