Principles and Patterns for Streaming Data Analysis

Principles and Patterns for Streaming Data Analysis

Explore critical patterns and principles for handling overwhelming amounts of real-time, streaming data in this 42-minute conference talk from Devoxx. Learn how to combine tools, platforms, and strategies to achieve greater scale and response speed when dealing with massive data volumes. Discover how an In-Memory Data Grid like Infinispan and a platform like Kubernetes can leverage these concepts to create a state-of-the-art distributed data processing architecture. Gain insights into interaction patterns, buffers, guarantees, and tiered analysis approaches. Watch a live demo showcasing the implementation of these principles, and delve into topics such as data access theory, OpenShift, Kubernetes, Vertex, and Google Maps integration.