Abstract
Healthcare information management system produces huge volume of healthcare data. Information related to different patient may vary according to his/her health situation. This health information for all patients need to store in a database for future use. The patient information is of huge volume with different varieties and unstructured in nature. It is very difficult to normalize and store such data in traditional RDBMS. So there is an essence to use NoSql to store such data in a big data environment. NoSql can handle the unstructured or medical data where each particular patient is identified by a row id and varieties of medical information can be stored in a particular column family. In this paper, we present big data characteristics in healthcare system focusing particularly on NoSQL databases. We have proposed an architectural model where we have used HBase as a NoSql on top of HADOOP platform and showed how performance of query execution differ according to the data volume stored in the HBase.
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Mondal, S.S., Mondal, S., Adhikari, S.K. (2023). Performance Analysis of Healthcare Information in Big Data NoSql Platform. In: Bhattacharyya, S., Das, G., De, S., Mrsic, L. (eds) Recent Trends in Intelligence Enabled Research. DoSIER 2022. Advances in Intelligent Systems and Computing, vol 1446. Springer, Singapore. https://doi.org/10.1007/978-981-99-1472-2_20
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