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Overview
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Learn how to analyze streaming data effectively by understanding critical patterns and principles. This course covers interaction patterns, buffers, guarantees, and more. You will also explore tools like In-Memory Data Grid and Kubernetes through a live demo. The teaching method includes theoretical concepts, practical demonstrations, and discussions on data access theories. This course is designed for individuals interested in distributed data processing architectures and real-time data analysis.
Syllabus
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
Taught by
Devoxx