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Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases
Journal JoVE
Médecine
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Journal JoVE Médecine
Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

DOI:
10.3791/57439-v

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07:26 min

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March 19, 2018

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, , , ,
1Telemedicine and Information Society Department,Health Institute “Carlos III”

Chapitres

  • 00:05Titre
  • 01:17Executing Complexity-Increasing Queries in Relational and Non-Relational Not Only Structured Query Language (NoSQL) Databases
  • 04:49Results: Comparing Relational and Non-Relational Database Analyses
  • 06:24Conclusion

Summary

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Traduction automatique

This study compares relational and non-relational (NoSQL) standardized medical information systems. The computational complexity of the response times of querying such database management systems (DBMS) is computed using doubling-sized databases. These results help the discussion of the appropriateness of each database approach to different scenarios and problems.

Tags

– Relational Database- NoSQL Database- MySQL- MongoDB- EXist- ISO/EN 13606- EHR Database- Complexity-increasing Queries- Response Time- Computational Complexity- Database Management Systems- SQL Server- BaseX- Electronic Health Record Systems- Index- Query Execution- Mongo Database

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