Many Faces of Real-time Analytics: A Guide to System Classification and Implementation

Learn to classify and implement real-time analytics systems in this 33-minute conference talk from OSA Con 2023. Explore five key characteristics for assessing real-time analytics systems - data freshness, query latency, concurrency, query complexity, and historical data access. Discover how these systems can be categorized into four distinct groups based on their characteristics, illustrated through practical examples from a fictional train company. Master the selection of appropriate technologies including stream processors, streaming databases, and real-time OLAP databases for different analytical needs. Gain valuable insights into implementing production-ready real-time analytics solutions that enable organizations to derive meaningful insights from continuous data streams and make swift decisions. Perfect for beginning practitioners in data analytics looking to understand, evaluate, and select the right technology stack for their specific real-time analytics use cases.