{"id":"https://openalex.org/W4411374488","doi":"https://doi.org/10.1145/3722212.3724448","title":"Query Decorrelation in the Fabric Data Warehouse","display_name":"Query Decorrelation in the Fabric Data Warehouse","publication_year":2025,"publication_date":"2025-06-17","ids":{"openalex":"https://openalex.org/W4411374488","doi":"https://doi.org/10.1145/3722212.3724448"},"language":"en","primary_location":{"id":"doi:10.1145/3722212.3724448","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3722212.3724448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2025 International Conference on Management of Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103027305","display_name":"Nicolas Bruno","orcid":"https://orcid.org/0009-0007-3951-0998"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nicolas Bruno","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016107143","display_name":"C\u00e9sar Galindo-Legaria","orcid":"https://orcid.org/0009-0006-5344-9495"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C\u00e9sar Galindo-Legaria","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022433632","display_name":"Milind Joshi","orcid":"https://orcid.org/0009-0001-0769-1700"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Milind Joshi","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103027305"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17741347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"297","last_page":"309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decorrelation","display_name":"Decorrelation","score":0.8908182382583618},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.7166440486907959},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.662211537361145},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.45733338594436646},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4019443094730377},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35277074575424194},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10124552249908447}],"concepts":[{"id":"https://openalex.org/C177860922","wikidata":"https://www.wikidata.org/wiki/Q788608","display_name":"Decorrelation","level":2,"score":0.8908182382583618},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.7166440486907959},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.662211537361145},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.45733338594436646},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4019443094730377},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35277074575424194},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10124552249908447}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3722212.3724448","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3722212.3724448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2025 International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1969460277","https://openalex.org/W2008116177","https://openalex.org/W2066679214","https://openalex.org/W2079112936","https://openalex.org/W2134179408","https://openalex.org/W2142479363","https://openalex.org/W2157627309","https://openalex.org/W2408388496","https://openalex.org/W2631772412","https://openalex.org/W2963741525","https://openalex.org/W3164278511"],"related_works":["https://openalex.org/W1604939135","https://openalex.org/W2127058578","https://openalex.org/W2098040275","https://openalex.org/W2735368845","https://openalex.org/W2089764958","https://openalex.org/W3109905219","https://openalex.org/W2073586885","https://openalex.org/W2546477360","https://openalex.org/W2359691516","https://openalex.org/W2261979314"],"abstract_inverted_index":{"SQL":[0,30],"subqueries":[1,33,72],"allow":[2],"practitioners":[3],"to":[4,27,35,95],"embed":[5],"logic":[6],"almost":[7],"anywhere":[8],"within":[9],"the":[10,122,138],"context":[11],"of":[12,87,103,146],"a":[13,66,117,150],"more":[14],"general":[15],"query":[16,25,139],"and":[17,23,42,73,89,111,141],"are":[18,53,61],"used":[19],"both":[20],"by":[21,38,46],"developers":[22],"automatic":[24],"generators":[26],"express":[28],"complex":[29,151],"logic.":[31],"Correlated":[32],"refer":[34],"columns":[36],"defined":[37],"their":[39],"outer":[40],"queries":[41],"can":[43],"be":[44],"evaluated":[45],"tuple-at-a-time":[47],"execution":[48,102],"strategies.":[49],"These":[50],"evaluation":[51,145],"schemes":[52],"generally":[54],"slow,":[55],"except":[56],"when":[57],"specialized":[58],"index":[59],"strategies":[60],"available.":[62],"Query":[63,80],"decorrelation":[64,81,119,131],"is":[65],"technique":[67],"that":[68],"removes":[69],"correlation":[70],"from":[71],"typically":[74],"results":[75],"in":[76,115,137],"faster":[77],"set-oriented":[78],"execution.":[79],"has":[82,90],"been":[83],"an":[84,143],"active":[85],"area":[86],"research":[88],"received":[91],"recent":[92],"attention":[93],"due":[94],"some":[96],"distributed":[97],"engines":[98],"not":[99],"directly":[100],"supporting":[101],"correlated":[104],"subqueries.":[105],"This":[106],"work":[107],"extends":[108],"previous":[109],"approaches":[110],"describes":[112],"our":[113,129,147],"experience":[114],"building":[116],"new":[118,130],"framework":[120],"for":[121],"Microsoft":[123],"Fabric":[124],"Data":[125],"Warehouse.":[126],"We":[127],"explain":[128],"approach,":[132],"how":[133],"we":[134],"integrate":[135],"it":[136],"optimizer,":[140],"report":[142],"experimental":[144],"techniques":[148],"on":[149],"benchmark":[152],"over":[153],"TPC-DS":[154],"data.":[155]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
