Handling Streaming, Schema Drift & Unstructured Signals in Modern Data Platforms

Topic:Handling Streaming, Schema Drift & Unstructured Signals in Modern Data Platforms
Platform Focus: Microsoft Fabric

In today’s data landscape, the hardest problems are no longer just about storage or processing power, they are about data that refuses to stay still.

From real-time streaming events to unpredictable schema changes and unstructured signals (logs, text, IoT feeds, and API noise), modern data teams are constantly forced to rethink how they design resilient data systems.

In this session, we’ll break down:

• How to design for real-time streaming datawithout breaking downstream models
• Practical approaches to handling schema drift in evolving datasets
• Techniques for extracting value from unstructured and semi-structured signals
• How modern platforms like Microsoft Fabric simplify (and sometimes complicate) these patterns
• Real-world architectural thinking for scalable analytics systems

This is not just a tooling discussion it’s a data engineering + analytics strategy conversation for practitioners working in fast-moving environments.

📅 Date:Saturday, 9 May 2026
🕔 Time:5:00 PM (WAT)

https://lnkd.in/etyJbfNR