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1
Intro
2
What is a graph database?
3
Where do graph databases fit?
4
Graph is a hot trend
5
Graph Use Cases
6
Employee Hierarchy
7
River Crossing Problem
8
Constraint Problems
9
Graph Computing Engine
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Labeled Property Graph
11
Understand what you're looking for
12
Understand what your tool is doing
13
Understand your Algorithm
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Understand your Data
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Choose the Right Tool
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Yellow Light
17
Questions?
Description:
Explore the world of graph databases in this comprehensive conference talk that cuts through the hype and provides a balanced perspective on their real-world applications. Delve into the strengths and limitations of graph databases, learning when they can effectively solve complex problems and when traditional relational databases might be a better fit. Discover practical use cases, including employee hierarchies, river crossing problems, and constraint problems, while gaining insights into labeled property graphs and graph computing engines. Acquire essential knowledge on selecting the right tools, understanding algorithms, and interpreting data for successful graph database implementation. Learn from the speaker's personal experiences, including failures, to make informed decisions about incorporating graph databases into your projects. By the end of this talk, gain the necessary information to critically evaluate the potential of graph databases for your specific needs.

A Skeptics Guide to Graph Databases

NDC Conferences
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