Modern Data Platforms and Scaling microservices through deployment architectures
Details
š§ Topic 1 (40 mins):
From Batch to Real-Time AI: Evolution of Modern Data Platforms
Explore how data platforms evolve from Spark & Hiveābased batch processing to real-time, AI-driven systems using Kafka, Flink, Iceberg, and Reverse ETL for live personalization and insights.
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āļø Topic 2 (30 mins):
Scaling Microservices with Modern Deployment Architecture
Learn practical strategies to scale microservices using modern, cloud-native deployment patterns for reliability, performance, and growth.
š¤ Speaker:
Suyog Chadawar, Senior Software Engineer at Confluent
Backend & distributed systems expert with 6+ years of experience building scalable platforms.
