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.

Introduction
Data is overwhelming
Interaction patterns
Buffers
Guarantees
Exactly once
Initial Collection Tier
Analysis Tier
Continuous Queries
Time Constraints
Other Topics
Data Access Theory
Openshift
Kubernetes
Vertex
Erics Java
FinishPlan
Demo
Google Maps