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- W2899456326 abstract "With the explosive growth of healthcare data, traditional relational database management systems (RDBMS) are limited in scalability, storage of unstructured data, concurrency and cost. Thus we proposed a snowflake model based on HBase with a multi-table structure and three kinds of index tables for efficient assess of large-scale health records. A guideline for designing of index tables was proposed which covers the demands of most healthcare data processing applications. A benchmark test was carried out with six types of queries on a large dataset comprising 750 million records to compare the performance of the proposed model against the traditional tall-table model on HBase. We found that the snowflake model was more efficient than the tall-table model. The adoption of index tables could greatly improve the query speed and provided real-time queries for two models. In general, snowflake model could be used for managing large-scale healthcare data as an advantageous alternative." @default.
- W2899456326 created "2018-11-09" @default.
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- W2899456326 date "2018-07-01" @default.
- W2899456326 modified "2023-09-24" @default.
- W2899456326 title "A Distributed Storage Model for Healthcare Big Data Designed on HBase" @default.
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- W2899456326 doi "https://doi.org/10.1109/embc.2018.8513400" @default.
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