{"id":"https://openalex.org/W2021445484","doi":"https://doi.org/10.1145/2799562.2799642","title":"The Vision of BigBench 2.0","display_name":"The Vision of BigBench 2.0","publication_year":2015,"publication_date":"2015-05-31","ids":{"openalex":"https://openalex.org/W2021445484","doi":"https://doi.org/10.1145/2799562.2799642","mag":"2021445484"},"language":"en","primary_location":{"id":"doi:10.1145/2799562.2799642","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2799562.2799642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth Workshop on Data analytics in the Cloud","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/A5002030730","display_name":"Tilmann Rabl","orcid":"https://orcid.org/0009-0009-3335-8045"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Tilmann Rabl","raw_affiliation_strings":["University of Toronto, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078641777","display_name":"Michael Frank","orcid":"https://orcid.org/0000-0003-1413-0175"},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Frank","raw_affiliation_strings":["bankmark, Passau, Germany"],"affiliations":[{"raw_affiliation_string":"bankmark, Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011662936","display_name":"Manuel Danisch","orcid":null},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Manuel Danisch","raw_affiliation_strings":["bankmark, Passau, Germany"],"affiliations":[{"raw_affiliation_string":"bankmark, Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072791865","display_name":"Hans\u2010Arno Jacobsen","orcid":"https://orcid.org/0000-0003-0813-0101"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hans-Arno Jacobsen","raw_affiliation_strings":["Middleware Systems Research Group"],"affiliations":[{"raw_affiliation_string":"Middleware Systems Research Group","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113702974","display_name":"Bhaskar Gowda","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhaskar Gowda","raw_affiliation_strings":["Intel, Hillsbury, Oregon, USA","Intel, Hillsbury, Oregon, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Intel, Hillsbury, Oregon, USA","institution_ids":["https://openalex.org/I1343180700"]},{"raw_affiliation_string":"Intel, Hillsbury, Oregon, USA#TAB#","institution_ids":["https://openalex.org/I1343180700"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5002030730"],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":1.9969,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.87951901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9970999956130981,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/big-data","display_name":"Big data","score":0.7959005236625671},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7823430299758911},{"id":"https://openalex.org/keywords/dilemma","display_name":"Dilemma","score":0.6991806030273438},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5649305582046509},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5283677577972412},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4484729766845703},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4324050843715668},{"id":"https://openalex.org/keywords/data-extraction","display_name":"Data extraction","score":0.4202166497707367},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.41692206263542175},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33392518758773804},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.24146443605422974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22927793860435486},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1398869752883911}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7959005236625671},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7823430299758911},{"id":"https://openalex.org/C2778496695","wikidata":"https://www.wikidata.org/wiki/Q254128","display_name":"Dilemma","level":2,"score":0.6991806030273438},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5649305582046509},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5283677577972412},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4484729766845703},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4324050843715668},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.4202166497707367},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.41692206263542175},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33392518758773804},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.24146443605422974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22927793860435486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1398869752883911},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2799562.2799642","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2799562.2799642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth Workshop on Data analytics in the Cloud","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6200000047683716,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W22394099","https://openalex.org/W192156609","https://openalex.org/W1483804518","https://openalex.org/W1494137514","https://openalex.org/W1557692423","https://openalex.org/W1985229168","https://openalex.org/W1991532004","https://openalex.org/W2052312648","https://openalex.org/W2062903088","https://openalex.org/W2065753274","https://openalex.org/W2097608897","https://openalex.org/W2112215401","https://openalex.org/W2120412968","https://openalex.org/W2143460123","https://openalex.org/W2152603468","https://openalex.org/W6600900430","https://openalex.org/W6628791528"],"related_works":["https://openalex.org/W2350209916","https://openalex.org/W2475524763","https://openalex.org/W2363851383","https://openalex.org/W2354517252","https://openalex.org/W2387460998","https://openalex.org/W2007638484","https://openalex.org/W2356631479","https://openalex.org/W4280620143","https://openalex.org/W4205595170","https://openalex.org/W2119966892"],"abstract_inverted_index":{"Data":[0],"is":[1,27,39,55],"one":[2],"of":[3,18,58,68,86,90],"the":[4,29,66,78,87],"most":[5],"important":[6],"resources":[7],"for":[8,14,77],"modern":[9],"enterprises.":[10],"Better":[11],"analytics":[12],"allow":[13],"a":[15,70,83,91],"better":[16],"understanding":[17,85],"customer":[19],"requirements":[20],"and":[21],"market":[22],"dynamics.":[23],"The":[24],"more":[25,30],"data":[26,42,52,60],"collected,":[28],"information":[31,36],"can":[32],"be":[33],"extracted.":[34],"However,":[35],"value":[37],"extraction":[38],"limited":[40],"by":[41],"processing":[43],"speeds.":[44],"Due":[45],"to":[46],"fast":[47],"technological":[48],"advances":[49],"in":[50,65],"big":[51,59],"management":[53],"there":[54],"an":[56],"abundance":[57],"systems.":[61],"This":[62],"leaves":[63],"users":[64],"dilemma":[67],"choosing":[69],"system":[71],"that":[72],"features":[73],"good":[74,84],"end-to-end":[75],"performance":[76,89],"use":[79],"case.":[80],"To":[81],"get":[82],"actual":[88],"system,":[92],"realistic":[93],"application":[94],"level":[95],"workloads":[96],"are":[97],"required.":[98]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
