How to Find Hidden Data Relationships in Your S3 Data | Databases for AI

Most data lakes are full of insights — but the most important relationships are invisible to SQL. Learn how to uncover hidden patterns in your S3 data lake using graph analytics — no ETL required.

If you’ve ever felt like:
- Your SQL queries return rows, but not insight
- Important connections across datasets are hard (or impossible) to detect
- Your data lake isn’t actually helping your AI or ML workloads
…this session is for you.

🔍 What you’ll learn:
- Why SQL struggles to reveal relationship-driven insights in data lakes
- How graph analytics exposes patterns traditional queries miss
- How to analyze S3 data without ETL or data duplication
- Real examples of finding fraud rings, entity connections, and hidden dependencies
- How relationship-aware data makes AI systems smarter and more explainable

🧠 Who this is for
- Data engineers and data architects
- Developers working with S3 data lakes
- Analytics and ML practitioners
- Anyone exploring databases for AI and modern data architectures

🚀 Why this matters:
As AI adoption accelerates, relationship awareness is becoming just as important as raw data volume. Graph analytics helps bridge the gap between data lakes and AI-ready insights — especially when traditional SQL reaches its limits.This session shows how teams are moving beyond tables and joins to see their data as a connected system, not just isolated records.
- Code sample for this episode: https://github.com/awslabs/nx-neptune/blob/main/notebooks/import_s3_table_demo.ipynb
- Neptune docs: https://github.com/awslabs/nx-neptune/tree/main
- Learn more about Amazon Neptune: https://aws.amazon.com/neptune/

Previous episodes:
1. VectorDB vs GraphDB: https://www.youtube.com/live/qQeB2nuXNNo
2. Build your first GraphRAG Powered Agent! (No Graph Expert Required): https://www.youtube.com/watch?v=gv6zK265OUE
3. Build Knowledge Graph-powered AI Agents For Your Use Case: https://www.youtube.com/watch?v=6B29VDvPPzc

Видео How to Find Hidden Data Relationships in Your S3 Data | Databases for AI канала AWS Events