# Dimensional Data Modeling - Graph Data Modeling with Iceberg (Day 3 Lab)

> In this lab, we delve into the NBA game dataset, specifically the nba_player_seasons table. Learn the nuances of using team ID and team abbreviation in the graph, and follow along as we demonstrate the insertion of data into the vertices. Uncover the concept of bi-directional edges, supported by pr…

- Web page: https://www.dataexpert.io/lesson/dimensional-data-modeling-day-3-lab-v3
- Program: [Data Engineering Boot Camp V2 Combined Track](https://www.dataexpert.io/program/data-engineering-boot-camp-v2-combined-track)
- Module: Week 1: Dimensional Data Modeling in Iceberg
- Access: Requires enrollment in Data Engineering Boot Camp V2 Combined Track
- Length: 1 h 2 min video
- Skills: SQL, Data Modeling, Apache Iceberg
- Academy: DataExpert.io Academy

## About this lesson

In this lab, we delve into the NBA game dataset, specifically the `nba_player_seasons` table. Learn the nuances of using team ID and team abbreviation in the graph, and follow along as we demonstrate the insertion of data into the vertices. Uncover the concept of bi-directional edges, supported by practical examples of data filtering and joining. Throughout, we share optimization tips, highlighting the advantages of leveraging graph traversal for complex data analysis. These insights prove valuable for data analysts and developers engaging with graph databases.[Recorded Nov 9, 2023]

## Navigation

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