Learn with Neo4j's New "Get to Know Graph & GenAI" Webinar Series >>
Session Track: Data Intelligence
Session Time:
Session description
In this session, we’ll present MetaKG, a Neo4j-powered Metadata Knowledge Graph that transforms SQL metadata into a living, searchable graph — enabling rapid discovery, impact analysis, and smarter decision-making for data architects. With a simple extraction pipeline capturing objects and dependencies, MetaKG creates connected insights such as: Which stored procedures touch critical pricing tables? What’s the downstream impact of altering a column? Which tables, views, and jobs form the data lineage for a product dashboard? You’ll see how Neo4j and Cypher help data teams move beyond static ERDs and tribal knowledge, reducing onboarding time from weeks to hours—especially in high-stakes migrations, audits, or modernization projects. If you're a data engineer, architect, or graph enthusiast, this talk will equip you to treat your metadata as a strategic asset, not just a byproduct—and show you how to query your data estate like never before.
Principal Data Architect, Tiger Analytics
Senthil Chidambaram is a data analytics professional and Ei-Ai researcher with proven track records and field experience in designing and implementing NextGen value solutions using Neo4j Graph.
Data Engineer
Abhishek Mishra is a graph engineer working in the graph Center of Excellence (CoE) at Tiger Analytics. He specializes in designing graph data models, optimizing Cypher queries, and building end-to-end graph-based solutions using Neo4j and other graph technologies. Abhishek's work focuses on solving complex business problems such as fraud detection, metadata management, and customer behavior analysis through graph analytics.