Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
The user’s query that is requested by the DBMS often accesses fewer columns than accessing all row values. However, the existing NSM (Narray Storage Model) storage model that saves in row units can not handle this properly. Also, in the OLAP environment, it is a feature to frequently use analysis tasks and aggregate functions to process with value of a specific column. It is a well-known fact that column-based storage model is necessary in OLAP environment in other studys, etc., already. Therefore, a column-based storage model is required. Therefore, the model proposed in this study presents a model that is advantageous for access by record and has high space efficiency.
How to cite this article:
Jeong-Joon Kim. Column-Based Storage Structure for Bigdata Processing.
DOI: https://doi.org/10.36478/jeasci.2018.746.751
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2018.746.751