Literature DB >> 28540677

Relational Databases and Biomedical Big Data.

N H Nisansa D de Silva1.   

Abstract

In various biomedical applications that collect, handle, and manipulate data, the amounts of data tend to build up and venture into the range identified as bigdata. In such occurrences, a design decision has to be taken as to what type of database would be used to handle this data. More often than not, the default and classical solution to this in the biomedical domain according to past research is relational databases. While this used to be the norm for a long while, it is evident that there is a trend to move away from relational databases in favor of other types and paradigms of databases. However, it still has paramount importance to understand the interrelation that exists between biomedical big data and relational databases. This chapter will review the pros and cons of using relational databases to store biomedical big data that previous researches have discussed and used.

Keywords:  Big data; Biomedical big data; Data mining; Relational databases

Mesh:

Year:  2017        PMID: 28540677     DOI: 10.1007/978-1-4939-7046-9_5

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  1 in total

1.  Developing Tools for Analysis of Renal Genomic Data: An Invitation to Participate.

Authors:  Agustin Gonzalez-Vicente; Ulrich Hopfer; Jeffrey L Garvin
Journal:  J Am Soc Nephrol       Date:  2017-10-05       Impact factor: 10.121

  1 in total

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