Real-Time Analytics Pipelines
Streaming data for instant insights
Build real-time data pipelines that enable instant brand analytics and responses.

Robert Thornton
Distinguished Professor of Data Analytics & Intelligence
PhD (Stanford Statistics), MS (MIT CSAIL), Ex-Amazon/Netflix Head of Data Science
or 9,900 credits
Plan: professional
What You'll Learn
Build streaming pipelines
Implement real-time analytics
Course Curriculum
5 chapters · 270+ minReal-time data systems
Core Concept Fundamentals
Building essential knowledge of fundamental principles and methodologies in this domain.
- Understand core principles and theories
- Apply foundational frameworks correctly
- Build knowledge progressively
- Connect concepts to practical applications
Practical Application Essentials
Translating theoretical knowledge into actionable strategies.
- Connect theory to practice
- Identify application opportunities
- Execute implementations effectively
- Measure application outcomes
Lecture · Chapter 1 of 5
Streaming Architecture
Streaming Architecture
This lesson is Streaming Architecture. Real-time data systems
Optional: render an on-demand high-definition instructor video
On-demand render \u00b7 photoreal instructor \u00b7 synchronized narration \u00b7 charged at per-use Credits when enabled.
Course Project
Real-Time Analytics Platform
Build a streaming analytics system.
Prerequisites
- Data engineering basics
Topics Covered
Your Instructor

Robert Thornton
Distinguished
Former Netflix Head of Data Science who built recommendation systems serving 200M+ users. Creator of the RICE+ analytics framework — the definitive methodology for quantifying brand health through AI-driven metrics.
13
Courses
20K
Students
4.9
Rating
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