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1
Introduction
2
About Chad
3
What are graphs
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The history of graph theory
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Applications of graph theory
6
What do graphs mean
7
What is a graph database
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Power of graph databases
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Graph vs relational databases
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Company reorganization
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Corporate mergers
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Adding additional hierarchy
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Schema management
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What is Gremlin
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Gremlin Components
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Gremlin Support
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Azure Cosmos
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Graph Reversals
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Requirements
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Schema
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Query
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Document Schema
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Questions
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Querying Values
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Recap
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Conclusion
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the power of graph databases in solving common data problems through this comprehensive conference talk. Gain insights into the natural connectivity of real-world data and how graph databases offer advantages over traditional entity-focused data modeling. Discover the fundamentals of graph theory, its historical context, and practical applications in various fields. Learn about the Gremlin API within Azure Cosmos DB and how it facilitates efficient data traversal. Examine real-world scenarios such as company reorganizations and corporate mergers to understand the flexibility and adaptability of graph databases. Delve into the intricacies of schema management, query techniques, and the advantages of graph databases over relational databases. By the end of this talk, acquire the knowledge to leverage graph databases for solving complex data challenges in business and beyond.

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

NDC Conferences
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