Polaris: A System for Query, Analysis, and Visualization of Multidimensional Databases.
During the last decade, multidimensional databases have become common in the business and scientific worlds. Analysis places significant demands on the interfaces to these databases. It must be possible for analysts to easily and incrementally change both the data and their views of it as they cycle...
| Publicado en: | Communications of the ACM Vol. 51; no. 11; pp. 75 - 85 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Association for Computing Machinery
Nov2008
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=35211906&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 35211906 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Nov2008 vid: 51 iid: 11 pid: 68 pub: Association for Computing Machinery artinfo: ui: 35211906 10.1145/1400214.1400234 ppf: 75 ppct: 10 formats: tig: atl: Polaris: A System for Query, Analysis, and Visualization of Multidimensional Databases. aug: au: Stolte, Chris Diane Tang Pat Hanrahan affil: Founder and vice president of Tableau Software, Seattle, WA. Software researcher, Google, Inc., Mountain View, CA. Canon USA Professor, School of Engineering, Stanford University, Stanford, CA. su: Information storage & retrieval systems software Multidimensional databases Database management software Programming languages Visual programming languages (Computer science) Data warehousing sug: subj: Information storage & retrieval systems software Multidimensional databases Database management software Programming languages Visual programming languages (Computer science) Data warehousing ab: During the last decade, multidimensional databases have become common in the business and scientific worlds. Analysis places significant demands on the interfaces to these databases. It must be possible for analysts to easily and incrementally change both the data and their views of it as they cycle between hypothesis and experimentation. In this paper, we address these demands by presenting the Polaris formalism, a visual query language for precisely describing a wide range of table-based graphical presentations of data. This language compiles into both the queries and drawing commands necessary to generate the visualization, enabling us to design systems that closely integrate analysis and visualization. Using the Polaris formalism, we have built an interactive interface for exploring multidimensional databases that analysts can use to rapidly and incrementally build an expressive range of views of their data as they engage in a cycle of visual analysis. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2008 holdings: @attributes: islocal: N |
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