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Explore real-time processing and machine learning pipelines in this engaging 38-minute conference talk from the Data Science Festival. Discover how to detect phone shaking in an audience and scale it to thousands of devices using Quix Streams, an open-source Python library. Learn about the growing importance of real-time processing, compare batch and streaming architectures, and understand the principles of streaming architectures including topics, pub/sub, and scalation. Gain insights into Quix Streams' features and how it simplifies building real-time ML pipelines for data scientists and ML engineers. Perfect for professionals looking to adopt new technologies and stay current in the field of real-time data processing and machine learning.
