{"id":"https://openalex.org/W2252281696","doi":"https://doi.org/10.1109/ipdpsw.2015.184","title":"HPBC 2015 Keynote Speaker - Big Data: What happens when data actually gets big?","display_name":"HPBC 2015 Keynote Speaker - Big Data: What happens when data actually gets big?","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W2252281696","doi":"https://doi.org/10.1109/ipdpsw.2015.184","mag":"2252281696"},"language":"en","primary_location":{"id":"doi:10.1109/ipdpsw.2015.184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipdpsw.2015.184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Parallel and Distributed Processing Symposium Workshop","raw_type":"proceedings-article"},"type":"conference-abstract","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/A5004319610","display_name":"Tim Mattson","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":true,"raw_author_name":"Tim Mattson","raw_affiliation_strings":["Intel Science and Technology Center for Big Data, Intel, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Science and Technology Center for Big Data, Intel, USA","institution_ids":["https://openalex.org/I1343180700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5004319610"],"corresponding_institution_ids":["https://openalex.org/I1343180700"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"535","last_page":"535"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.5318999886512756,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.5318999886512756,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14280","display_name":"Big Data Technologies and Applications","score":0.5231999754905701,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.847930908203125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7267817258834839},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37584877014160156},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3288372755050659},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1331496238708496}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.847930908203125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7267817258834839},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37584877014160156},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3288372755050659},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1331496238708496}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipdpsw.2015.184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipdpsw.2015.184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Parallel and Distributed Processing Symposium Workshop","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4322629366","https://openalex.org/W2808989540","https://openalex.org/W2397053934","https://openalex.org/W1039292361","https://openalex.org/W2551093110","https://openalex.org/W2148016376","https://openalex.org/W4237919137","https://openalex.org/W3184179822","https://openalex.org/W3095362084","https://openalex.org/W3003361536"],"abstract_inverted_index":{"Summary":[0],"form":[1],"only":[2],"given,":[3],"as":[4,15],"follows.":[5],"The":[6,199],"complete":[7],"presentation":[8],"was":[9],"not":[10,82,134],"made":[11],"available":[12,61],"for":[13],"publication":[14],"part":[16],"of":[17,75,162,174,177,221,224],"the":[18,35,89,140,152,163,175,190,195,206],"conference":[19],"proceedings.":[20],"There":[21],"are":[22,120,169],"big":[23,92,114,126],"data":[24,36,53,67,90,93,115,127,137,141],"problems":[25],"today.":[26],"Usually":[27],"when":[28,88],"researchers":[29],"talk":[30,99],"about":[31],"\"big":[32],"data,\"":[33],"however,":[34],"isn\u2019t":[37],"that":[38,83,121],"big.":[39,84],"An":[40],"inefficient":[41],"solution":[42,107,180,197],"stack":[43,181],"based":[44],"on":[45],"direct":[46],"products":[47],"over":[48],"data-sets":[49],"(Map-":[50],"Reduce/Hadoop),":[51],"cramming":[52],"(the":[54,62],"square":[55],"peg)":[56],"into":[57],"whatever":[58],"data-store":[59],"is":[60,77,81,128,145,203],"round":[63],"hole),":[64],"and":[65,71,149,154,209,226],"moving":[66],"around":[68],"between":[69],"data-severs":[70],"computer-servers":[72],"...":[73],"all":[74],"this":[76,98,194],"OK":[78],"if":[79],"\"big-data\"":[80],"But":[85],"what":[86],"happens":[87],"in":[91,122,189],"actually":[94],"gets":[95],"big?":[96],"In":[97],"we":[100,182],"will":[101,184],"discuss":[102],"how":[103],"Big":[104,164,178],"Data":[105,143,165,179],"software":[106],"stacks":[108],"must":[109,138,156],"evolve":[110],"to":[111,151],"address":[112],"future":[113],"problems.":[116],"Our":[117],"guiding":[118],"principles":[119],"a":[123,158,171,186],"world":[124],"where":[125],"really":[129],"big:":[130],"One":[131],"size":[132],"does":[133],"fit":[135],"all;":[136],"match":[139],"store;":[142],"Movement":[144],"everything;":[146],"move":[147],"queries":[148],"processing":[150],"data;":[153],"Visualization":[155],"be":[157],"first":[159],"class":[160],"citizen":[161],"Solution":[166],"Stack.":[167],"We":[168,192],"developing":[170],"reference":[172],"implementation":[173],"sort":[176],"envision":[183],"play":[185],"key":[187],"role":[188],"future.":[191],"call":[193],"\"BigDAWG\"":[196],"stack.":[198],"research":[200],"behind":[201],"BigDAWG":[202],"occurring":[204],"within":[205],"Intel":[207],"Science":[208],"Technology":[210],"Research":[211],"Center":[212],"at":[213],"MIT":[214],"with":[215],"collaborators":[216],"from":[217],"Brown":[218],"University,":[219],"University":[220,223],"Washington,":[222],"Tennessee,":[225],"Portland":[227],"State":[228],"University.":[229]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}