Manage Schema Evolution in Real‑Time Data is a comprehensive, hands-on course designed to give data engineers, developers, and architects practical tools for handling schema changes in streaming and real-time data systems. Taught by Luca Berton, this Coursera program covers real-world scenarios and best practices for maintaining data integrity during schema transitions.
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What You’ll Learn
- ✅ Explain each compatibility mode meaning
- ✅ Identify which side upgrades first safely
- ✅ Analyze why transitive compatibility matters
- ✅ Implement backward and forward compatible schema changes
- ✅ Design migration strategies for production systems
Who Should Take This Course?
If you are a:
- Data Engineer
- Software Developer
- Solutions Architect
- DevOps Engineer
…this course is built for you! A foundational understanding of data serialization formats (Avro, JSON Schema, Protobuf) will help maximize your learning.
Course Overview
- Introduction to Schema Evolution
- Understanding Compatibility Modes
- Backward vs Forward Compatibility
- Full Compatibility and Its Trade-offs
- Transitive Compatibility Explained
- Schema Registry Architecture
- Versioning Strategies
- Migration Best Practices
- Handling Breaking Changes
- Real-World Schema Evolution Scenarios
Readings Included
- Course Overview
- Schema Compatibility Matrix
- Case Study: E-Commerce Platform Migration
- Hands-On: Configuring Schema Registry
- Case Study: Financial Services Data Pipeline
- Hands-On: Testing Schema Compatibility
- Case Study: IoT Sensor Data Evolution
- Best Practices Documentation
Assignments & Discussions
- Assignment: Schema Evolution Strategy Design (25 minutes)
- Discussion: Managing Breaking Changes in Production
- Assignment: Compatibility Testing Lab
Certificate
Upon completion, you’ll earn a shareable certificate from Coursera, verifying your schema evolution expertise—perfect for adding to your LinkedIn or resume.
Last updated: February 2026 – Included with Coursera Plus.
About the Instructor
Luca Berton is an experienced educator in automation, data engineering, and DevOps practices. With thousands of learners worldwide, he simplifies complex topics into digestible, practical lessons that get real-world results.
Ready to master schema evolution in real-time systems?
Enroll now and take your data engineering skills to the next level.
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