Graphing Your Way Through the Cosmos: Common Data Problems Solved with Graphs

Data as it appears in the real world is naturally connected, but traditional data modeling focuses on entities which can cause for complicated joins of these naturally connected data. That is where graph databases come in as they store data more like what happens naturally in the real world. Sure, there a lot of talk about using graph databases for social networks, recommendation engines, and Internet of Things; but using graph databases can also make a lot of sense when working with common business data problems.

In this presentation, you will get a better understanding of what graph databases are, how to use the Gremlin API within Azure Cosmos DB to traverse such data structures, and see practical examples to common data problems.

Short Abstract

Data is naturally connected, but data modeling focuses on entities which cause complicated joins; this is where graph databases come in as they store data more naturally. See how to use Azure Cosmos DB Gremlin API to traverse such data structures and see practical examples to common data problems.

Type

45/60/75-minute session

Tags

  • Architecture
  • Azure
  • Cosmos DB
  • Data
  • Database
  • Graph Databases

Learning Objectives

  • Understanding the basics of graph databases
  • See real world examples of graph databases with common business data problems
  • Understand best practices in building graphing data solutions

Presentations

EventLocationDate
Code PaLOUsa 2019Louisville, KYAugust 21 – 23, 2019
DogFoodCon 2019Columbus, OHOctober 3 – 4, 2019