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Why a Graph Database Solves Problems Other Databases Won’t

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2 Jun 2022CPOL5 min read 10.8K   4  
In this article we look at why when store and query data using a graph database such as Neo4j, you can quickly surface critical information, and possibly expose potentially catastrophic issues hidden within complex datasets.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)


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United States United States
Mobile Developer turned Pythonista, Jason Koo is Neo4j's resident Python Developer Advocate. He spent nearly 7 years developing iOS and Android apps and SDKs for Marketing and Financial Tech companies. During that time he began using Python for writing test data for SDK tests, developing code for IoT driven Escape rooms, then fully transitioned to developer advocacy in the computer vision field, real-time messaging, and now graph technologies.

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