14. DOLAP 2011: Glasgow, United Kingdom

Il-Yeol Song, Alfredo Cuzzocrea, Karen C. Davis (Eds.): DOLAP 2011, ACM 14th International Workshop on Data Warehousing and OLAP, Glasgow, United Kingdom, October 28, 2011, Proceedings. ACM 2011, ISBN 978-1-4503-0963-9

Data warehouse modeling and maintenance

Nadeem Iftikhar, Torben Bach Pedersen:
A rule-based tool for gradual granular data aggregation. 1-8
Dariush Riazati, James A. Thom, Xiuzhen Zhang:
Enforcing strictness in integration of dimensions: beyond instance matching. 9-16
Alberto Abelló, Jaume Ferrarons, Oscar Romero:
Building cubes with MapReduce. 17-24
Christoph Schütz, Michael Schrefl, Bernd Neumayr, Daniel Sierninger:
Incremental integration of data warehouses: the hetero-homogeneous approach. 25-30
Paulo S. Ruiz Del Aguila, Robson do Nascimento Fidalgo, Alexandre Mota:
Towards a more straightforward and more expressive metamodel for SDW modeling. 31-36

ETL and performance

Christian Thomsen, Torben Bach Pedersen:
Easy and effective parallel programmable ETL. 37-44
Zineb El Akkaoui, Esteban Zimányi, Jose-Norberto Mazón, Juan Trujillo:
A model-driven framework for ETL process development. 45-52
Curtis E. Dyreson, Omar U. Florez:
Building a display of missing information in a data sieve. 53-60
Marcin Gorawski, Aleksander Chrószcz:
Optimization of operator partitions in stream data warehouse. 61-66

OLAP visualization and extensions

Amr El-Helw, Kenneth A. Ross, Bishwaranjan Bhattacharjee, Christian A. Lang, George A. Mihaila:
Column-oriented query processing for row stores. 67-74
Tim Hsiao, Wo-Shun Luk, Stephen Petchulat:
Data visualization on web-based OLAP. 75-82
Carlos Ordonez, Zhibo Chen, Javier García-García:
Interactive exploration and visualization of OLAP cubes. 83-88
Leticia I. Gómez, Silvia A. Gómez, Alejandro A. Vaisman:
Analyzing continuous fields with OLAP cubes. 89-94
Ziqiang Yu, Xiaohui Yu, Yang Liu:
Cascading top-k keyword search over relational databases. 95-100

Panel

Alfredo Cuzzocrea, Il-Yeol Song, Karen C. Davis:
Analytics over large-scale multidimensional data: the big data revolution! 101-104

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