Details

• Date:

  December 21, 2024

• Time:

  11:00 - 14:00 IST Bengaluru, Karnataka

• Duration:

  3 hours

Summary

Join us for an intensive session bringing together senior data engineers and ML practitioners. We'll explore the intersection of modern data architecture and ML operations, focusing on building scalable platforms that serve both analytics and machine learning needs.

• ✅ Current state of data & ML platforms
• ✅ Key challenges in serving both analytics and ML workloads
• ✅ Data lakehouse architectures for ML workloads
• ✅ Feature store implementation patterns
• ✅ Bridging the gap between data engineering and ML pipelines
• ✅ CDC and real-time feature engineering
• ✅ ML model monitoring and data quality
• ✅ Building reliable data pipelines for both BI and ML
• ✅ Data versioning and experiment tracking
• ✅ Enjoy refreshments while networking with like-minded professionals.
• ✅ Unified metrics layer implementation
• ✅ MLOps pipeline automation
• ✅ Data mesh and feature democratization
• ✅ Performance optimization for ML workloads
• ✅ Emerging trends in data platforms and MLOps
• ✅ Building collaborative data and ML teams