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关系数据库与生物医学大数据

Relational Databases and Biomedical Big Data.

作者信息

de Silva N H Nisansa D

机构信息

Department of Computer and Information Science, University of Oregon, 224 Deschutes Hall, 1477 E 13th Ave., Eugene, OR, 97403, USA.

出版信息

Methods Mol Biol. 2017;1617:69-81. doi: 10.1007/978-1-4939-7046-9_5.

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.

摘要

在各种收集、处理和操纵数据的生物医学应用中,数据量往往会不断累积并进入被认定为大数据的范围。在这种情况下,必须做出关于使用何种类型数据库来处理这些数据的设计决策。根据以往的研究,在生物医学领域,通常默认的经典解决方案是关系数据库。虽然长期以来这一直是常态,但很明显,现在有一种趋势是逐渐摒弃关系数据库,转而青睐其他类型和范式的数据库。然而,理解生物医学大数据与关系数据库之间存在的相互关系仍然至关重要。本章将回顾以往研究讨论和使用过的使用关系数据库存储生物医学大数据的优缺点。

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