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  1. Proceedings of the ACM 14th international workshop on Data Warehousing and OLAP (DOLAP '11)
  2. Data visualization on web-based OLAP
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A rule-based tool for gradual granular data aggregation
Easy and effective parallel programmable ETL
Column-oriented query processing for row stores
Analytics over large-scale multidimensional data: the big data revolution!
Enforcing strictness in integration of dimensions: beyond instance matching
A model-driven framework for ETL process development
Data visualization on web-based OLAP
Building cubes with MapReduce
Building a display of missing information in a data sieve
Interactive exploration and visualization of OLAP cubes
Incremental integration of data warehouses: the hetero-homogeneous approach
Optimization of operator partitions in stream data warehouse
Analyzing continuous fields with OLAP cubes
Towards a more straightforward and more expressive metamodel for SDW modeling
Cascading top-k keyword search over relational databases

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Data visualization on web-based OLAP

Content Provider ACM Digital Library
Author Hsiao, Tim Luk, Wo-Shun Petchulat, Stephen
Abstract A web-based OLAP client typically runs inside a generic browser on a web-based, resource-constrained device. Currently, this client is responsible for only delivery of what is rendered by the OLAP server. A functional prototype of a client-centric OLAP system is built, which features a customized middleware on the server side and a web client incorporating a lightweight, in-memory OLAP data/query engine. We develop three interactive data visualization tools that run against the data engine on the client side. Our experimental results show that in comparison to the traditional server-centric model, our client-centric OLAP model is clearly superior and capable of delivering a higher level of user satisfaction. A novel technique is presented for in-client aggregation over a large set of data items represented in a scatter plot.
Starting Page 75
Ending Page 82
Page Count 8
File Format PDF
ISBN 9781450309639
DOI 10.1145/2064676.2064690
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2011-10-28
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Svg Data visualization Html5 Canvas Web-based client Olap
Content Type Text
Resource Type Article
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