@inproceedings{0cb2e5ab23824c30916938eff1b81787,
title = "Hybrid column/row-oriented DBMS",
abstract = "The rapid growth of data volumes which store the increasing amount of informationmakes the necessity of searching for the effectivemethods of data storing and processing. Some researches on this field recommend changing the row data organization that is classical for DBMS to the columnar one and/or the in-memory approach usage. The article presents chosen hybrid solutions which simultaneously enable storing data both in a row-basedway and column-based one, as well as process these data in the in-memory technology.",
keywords = "Clustered columnstore index, Column store, Hybrid column/row oriented systems, OLAP, Row store",
author = "Ma{\l}gorzata Bach and Aleksandra Werner",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 4th International Conference on Man{\textendash}Machine Interactions, ICMMI 2015 ; Conference date: 06-10-2015 Through 09-10-2015",
year = "2016",
doi = "10.1007/978-3-319-23437-3\_60",
language = "English",
isbn = "9783319234366",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "697--707",
editor = "Tadeusz Czach{\'o}rski and Aleksandra Gruca and Agnieszka Brachman and Stanis{\l}aw Kozielski and Tadeusz Czach{\'o}rski",
booktitle = "Man{\textendash}Machine Interactions - 4th International Conference on Man{\textendash}Machine Interactions, ICMMI 2015",
address = "Germany",
}