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Intro to

Graph
Databases


 

Intro to Graph Databases:

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Managing data from various sources and across many systems can be difficult. The challenge only increases when working with public health information which is inherently complex and historically siloed and unstandardized.  The real-world impact is significant – poor data quality reduces our ability to detect, analyze, and respond to threats to our nation's health.

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Implementation of standards is critical to interoperable systems and data sharing.  Equally as important is the ability to visualize, query, and make connections across the vast network of information that drives public health decision making.  JMC’s terminologists and interoperability experts are at the forefront of emerging technologies and innovative approaches to data governance and management. Semantic graphic databases offer one exciting solution that will allow for visualization of data elements and relationships across conditions, data sources, and public health implementation guides. With this visualization, CDC and other public health agencies will be able to explore the full picture of incoming data, identify areas where data may be comparable across sources, and work to improve standardization of their collected data elements.

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In this short video, Manoj Kumar, database analyst and project manager, presents a brief, accessible example of the power of graph databases. Contact us to explore how you can modernize your agency’s approach to data governance, standards, and interoperability using the latest technologies.

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Transcript PDF
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