Multidimensional data cubes with high-cardinality attributes
Computer-readable media, systems, and methods for building a multidimensional data cube having one or more high-cardinality attributes are described. In embodiments, data is extracted from one or more databases. It is determined that one or more instances of the data are fact data and one or more in...
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| creator | BERGER ALEXANDER PASUMANSKY MOSHA NETZ AMIR DUMITRU MARIUS MIRCHANDANI AKSHAI M PETCULESCU CRISTIAN |
| description | Computer-readable media, systems, and methods for building a multidimensional data cube having one or more high-cardinality attributes are described. In embodiments, data is extracted from one or more databases. It is determined that one or more instances of the data are fact data and one or more instances of the data are dimension data. Each member of the fact data is one instance of a dimension and each instance of the dimension data includes an attribute for grouping the fact data. Moreover, in embodiments it is determined that one or more instances of the dimension data are high-cardinality attributes. The one or more high-cardinality attributes are processed with fact data and stored in fact tables on a computer storage medium. |
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In embodiments, data is extracted from one or more databases. It is determined that one or more instances of the data are fact data and one or more instances of the data are dimension data. Each member of the fact data is one instance of a dimension and each instance of the dimension data includes an attribute for grouping the fact data. Moreover, in embodiments it is determined that one or more instances of the dimension data are high-cardinality attributes. The one or more high-cardinality attributes are processed with fact data and stored in fact tables on a computer storage medium.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2013</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20130219&DB=EPODOC&CC=US&NR=8380748B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76318</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20130219&DB=EPODOC&CC=US&NR=8380748B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>BERGER ALEXANDER</creatorcontrib><creatorcontrib>PASUMANSKY MOSHA</creatorcontrib><creatorcontrib>NETZ AMIR</creatorcontrib><creatorcontrib>DUMITRU MARIUS</creatorcontrib><creatorcontrib>MIRCHANDANI AKSHAI M</creatorcontrib><creatorcontrib>PETCULESCU CRISTIAN</creatorcontrib><title>Multidimensional data cubes with high-cardinality attributes</title><description>Computer-readable media, systems, and methods for building a multidimensional data cube having one or more high-cardinality attributes are described. In embodiments, data is extracted from one or more databases. It is determined that one or more instances of the data are fact data and one or more instances of the data are dimension data. Each member of the fact data is one instance of a dimension and each instance of the dimension data includes an attribute for grouping the fact data. Moreover, in embodiments it is determined that one or more instances of the dimension data are high-cardinality attributes. The one or more high-cardinality attributes are processed with fact data and stored in fact tables on a computer storage medium.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2013</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLDxLc0pyUzJzE3NK87Mz0vMUUhJLElUSC5NSi1WKM8syVDIyEzP0E1OLErJBMpmllQqJJaUFGUmlZakFvMwsKYl5hSn8kJpbgYFN9cQZw_d1IL8-NTigsTk1LzUkvjQYAtjCwNzEwsnI2MilAAA24MwTw</recordid><startdate>20130219</startdate><enddate>20130219</enddate><creator>BERGER ALEXANDER</creator><creator>PASUMANSKY MOSHA</creator><creator>NETZ AMIR</creator><creator>DUMITRU MARIUS</creator><creator>MIRCHANDANI AKSHAI M</creator><creator>PETCULESCU CRISTIAN</creator><scope>EVB</scope></search><sort><creationdate>20130219</creationdate><title>Multidimensional data cubes with high-cardinality attributes</title><author>BERGER ALEXANDER ; PASUMANSKY MOSHA ; NETZ AMIR ; DUMITRU MARIUS ; MIRCHANDANI AKSHAI M ; PETCULESCU CRISTIAN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US8380748B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2013</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>BERGER ALEXANDER</creatorcontrib><creatorcontrib>PASUMANSKY MOSHA</creatorcontrib><creatorcontrib>NETZ AMIR</creatorcontrib><creatorcontrib>DUMITRU MARIUS</creatorcontrib><creatorcontrib>MIRCHANDANI AKSHAI M</creatorcontrib><creatorcontrib>PETCULESCU CRISTIAN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>BERGER ALEXANDER</au><au>PASUMANSKY MOSHA</au><au>NETZ AMIR</au><au>DUMITRU MARIUS</au><au>MIRCHANDANI AKSHAI M</au><au>PETCULESCU CRISTIAN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Multidimensional data cubes with high-cardinality attributes</title><date>2013-02-19</date><risdate>2013</risdate><abstract>Computer-readable media, systems, and methods for building a multidimensional data cube having one or more high-cardinality attributes are described. In embodiments, data is extracted from one or more databases. It is determined that one or more instances of the data are fact data and one or more instances of the data are dimension data. Each member of the fact data is one instance of a dimension and each instance of the dimension data includes an attribute for grouping the fact data. Moreover, in embodiments it is determined that one or more instances of the dimension data are high-cardinality attributes. The one or more high-cardinality attributes are processed with fact data and stored in fact tables on a computer storage medium.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Multidimensional data cubes with high-cardinality attributes |
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