Modern Data Platforms and Scaling microservices through deployment architectures

🧠 Topic 1 (40 mins)
From Batch to Real-Time AI: Evolution of Modern Data Platforms:
By Suyog Chadawar
Explore how data platforms evolve from Spark & Hive–based batch processing to real-time, AI-driven systems using Kafka, Flink, Iceberg, and Reverse ETL for live personalization and insights.

⚙️ Topic 2 (30 mins)
Scaling Microservices with Modern Deployment Architecture:
By Suyog Chadawar:
Learn practical strategies to scale microservices using modern, cloud-native deployment patterns for reliability, performance, and growth.

-------------Snacks/Tea Break-------------

🧠 Topic 3 (20 mins)
By William John:
What are Microservices?
Monolithic to Microservices Architecture | Monorepo vs Polyrepo | How Microservices connect with each other

🧠 Topic 4 (15 mins)
By Suyog Kale:
Demo - OSS CDC Connector - CDC-Based RDBMS → NoSQL Data Synchronisation pipelines

🎤About Speakers:

1. Suyog Chadawar, Senior Software Engineer at Confluent
   Backend & distributed systems expert with 6+ years of experience building scalable platforms.
2. William John - Senior Devops Engineer, 10 + years
3. Suyog Kale - CTO, RagnarDataOps