@article{MAKHILLJEAS201813315503,
    title = {Column-Based Storage Structure for Bigdata Processing},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {3},
    pages = {746-751},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.746.751},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.746.751},
    author = {Jeong-Joon},
    keywords = {OLAP,column-based storage,DSM,DBMS,aggregate,NSM},
    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.}
    }