Overview
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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.
Syllabus
Intro
What is a graph database?
Where do graph databases fit?
Graph is a hot trend
Graph Use Cases
Employee Hierarchy
River Crossing Problem
Constraint Problems
Graph Computing Engine
Labeled Property Graph
Understand what you're looking for
Understand what your tool is doing
Understand your Algorithm
Understand your Data
Choose the Right Tool
Yellow Light
Questions?
Taught by
NDC Conferences