GraphDB Pune - August Meetup

Hands-on Workshop: Getting Started with Spanner-like Databases & Neo4j for Graph Workloads

Speaker: Ashutosh Bhakare

Workshop Description:

Ever wondered how companies like Google, Netflix, and LinkedIn manage and analyze billions of relationships in their data? The secret lies in graph databases. This hands-on workshop is your perfect introduction to two powerful but different approaches for handling highly connected data.

We will explore:

• Neo4j: The world's leading native graph database. You will learn the fundamentals of the Property Graph Model, how to think in graphs, and get your hands dirty writing your first queries in Cypher, the intuitive query language for graphs. It's perfect for things like recommendation engines, fraud detection, and knowledge graphs.

• Graph Data in Distributed SQL (like Spanner): Learn the modern approach of modeling and querying graph data within a globally distributed, highly scalable SQL database like Google's Spanner. We'll discuss the pros and cons of this method and when it makes sense to use it for applications requiring massive scale and strong consistency.

What You Will Learn:

• The core concepts of graph data modeling (Nodes, Relationships, Properties).
• How to set up and run basic queries in a Neo4j database.
• The difference between a native graph database and storing graph data in a relational system.
• Practical use-cases for both technologies.
• A foundational understanding to help you decide which tool is right for your project.

Who Should Attend?

• Developers curious about new database technologies.
• Data scientists and analysts working with complex, connected datasets.
• Database administrators looking to expand their skills.
• Students and tech enthusiasts eager for a hands-on learning experience.
  Prerequisites: Please bring your laptop fully charged to participate in the hands-on exercises. Further setup instructions will be shared with registered attendees.

RSVP Today! Seats are limited to ensure a quality hands-on experience.