{"id":"https://openalex.org/W3008391147","doi":"https://doi.org/10.1145/3369740.3372778","title":"Role of Machine Learning in ETL Automation","display_name":"Role of Machine Learning in ETL Automation","publication_year":2020,"publication_date":"2020-01-04","ids":{"openalex":"https://openalex.org/W3008391147","doi":"https://doi.org/10.1145/3369740.3372778","mag":"3008391147"},"language":"en","primary_location":{"id":"doi:10.1145/3369740.3372778","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3369740.3372778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Conference on Distributed Computing and Networking","raw_type":"proceedings-article"},"type":"conference-paper","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/A5056512425","display_name":"Kartick Chandra Mondal","orcid":"https://orcid.org/0000-0003-3647-5799"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kartick Chandra Mondal","raw_affiliation_strings":["Jadavpur University, Department of Information Technology, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jadavpur University, Department of Information Technology, Kolkata, India","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041849222","display_name":"Neepa Biswas","orcid":"https://orcid.org/0000-0003-2790-1768"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Neepa Biswas","raw_affiliation_strings":["Jadavpur University, Department of Information Technology, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jadavpur University, Department of Information Technology, Kolkata, India","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030310085","display_name":"Swati Saha","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Swati Saha","raw_affiliation_strings":["Tata Consultancy Services Limited, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tata Consultancy Services Limited, Kolkata, India","institution_ids":["https://openalex.org/I55215948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3393,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.89939748,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7719974517822266},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.7015175819396973},{"id":"https://openalex.org/keywords/business-process","display_name":"Business process","score":0.5626118779182434},{"id":"https://openalex.org/keywords/business-intelligence","display_name":"Business intelligence","score":0.5457103848457336},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5385078191757202},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5283430814743042},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5078426003456116},{"id":"https://openalex.org/keywords/competitor-analysis","display_name":"Competitor analysis","score":0.4611753225326538},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4459196925163269},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4265504479408264},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.38686659932136536},{"id":"https://openalex.org/keywords/process-management","display_name":"Process management","score":0.3575977683067322},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3409796357154846},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2999466061592102},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2183428704738617},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.21459561586380005},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1282920241355896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7719974517822266},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.7015175819396973},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.5626118779182434},{"id":"https://openalex.org/C2767350","wikidata":"https://www.wikidata.org/wiki/Q6662173","display_name":"Business intelligence","level":2,"score":0.5457103848457336},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5385078191757202},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5283430814743042},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5078426003456116},{"id":"https://openalex.org/C127576917","wikidata":"https://www.wikidata.org/wiki/Q624630","display_name":"Competitor analysis","level":2,"score":0.4611753225326538},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4459196925163269},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4265504479408264},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.38686659932136536},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.3575977683067322},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3409796357154846},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2999466061592102},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2183428704738617},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.21459561586380005},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1282920241355896},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3369740.3372778","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3369740.3372778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Conference on Distributed Computing and Networking","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":28,"referenced_works":["https://openalex.org/W109363366","https://openalex.org/W170523865","https://openalex.org/W197630086","https://openalex.org/W572368116","https://openalex.org/W1915444313","https://openalex.org/W1961147827","https://openalex.org/W2002834828","https://openalex.org/W2015320147","https://openalex.org/W2016432893","https://openalex.org/W2063753658","https://openalex.org/W2067416210","https://openalex.org/W2083755493","https://openalex.org/W2089929142","https://openalex.org/W2108971776","https://openalex.org/W2110385988","https://openalex.org/W2118020653","https://openalex.org/W2120828587","https://openalex.org/W2127912974","https://openalex.org/W2161853256","https://openalex.org/W2284815137","https://openalex.org/W2542502579","https://openalex.org/W2756785937","https://openalex.org/W2920153029","https://openalex.org/W2945921409","https://openalex.org/W4231428164","https://openalex.org/W4300641138","https://openalex.org/W6608082300","https://openalex.org/W6641082943"],"related_works":["https://openalex.org/W208715492","https://openalex.org/W2581040172","https://openalex.org/W2383696629","https://openalex.org/W2506063602","https://openalex.org/W23190051","https://openalex.org/W2362581214","https://openalex.org/W3165010183","https://openalex.org/W2953652248","https://openalex.org/W2901498424","https://openalex.org/W4248501364"],"abstract_inverted_index":{"In":[0,170],"the":[1,16,26,30,39,44,61,138,166,176,189,199,210,215,230],"current":[2],"business":[3,58],"landscape,":[4],"real-time":[5,73,235],"analysis":[6],"of":[7,15,25,29,67,92,108,140,168,191,219],"enterprise":[8,89],"data":[9,35,85,141,148,154,181,220],"is":[10,36,112,142],"very":[11],"crucial":[12,144],"for":[13,146,156],"decision-makers":[14],"organization":[17,47],"to":[18,43,51,54,132,150,164,184,197,229],"take":[19],"strategic":[20],"resolution":[21],"and":[22,63,69,100,202,217,227],"stay":[23],"ahead":[24],"competitors.":[27],"Most":[28],"time,":[31],"it":[32,41,104],"happens":[33],"that":[34,214],"outdated":[37],"by":[38],"time":[40],"reaches":[42],"user.":[45],"The":[46],"needs":[48],"reliable,":[49],"up":[50],"minute":[52],"information":[53,68],"make":[55],"better":[56],"proactive":[57],"decisions,":[59],"improve":[60],"process":[62,130,201,212],"organizational":[64],"efficiency.":[65],"Availability":[66],"business-critical":[70],"report":[71],"at":[72],"can":[74,124,161,206],"be":[75,125,162,207],"achieved":[76],"through":[77],"an":[78,88],"automated":[79],"ETL":[80,129,200,211],"process.":[81],"Typically,":[82],"running":[83],"a":[84,106,126,143,153,233],"warehouse":[86,155,182],"in":[87,118,152,179,209],"requires":[90],"coordination":[91],"many":[93,96],"operations":[94],"across":[95],"teams":[97],"including":[98],"applications":[99],"database":[101],"teams.":[102],"Also,":[103],"required":[105],"lot":[107],"manual":[109],"intervention,":[110],"which":[111],"error-prone.":[113],"Executing":[114],"all":[115,134],"related":[116,183],"steps":[117],"correct":[119],"sequences":[120],"under":[121],"accurate":[122],"conditions":[123],"challenge.":[127],"Automated":[128],"helps":[131],"address":[133],"these":[135],"problems.":[136],"Moreover,":[137],"preprocessing":[139,160],"step":[145],"making":[147],"ready":[149],"load":[151],"analysis.":[157],"Machine":[158],"learning-based":[159],"used":[163],"ensure":[165],"quality":[167,190,216],"data.":[169,192],"this":[171],"paper,":[172],"we":[173],"have":[174,194,224],"addressed":[175],"issues":[177],"faced":[178],"traditional":[180],"availability":[185,218],"as":[186,188],"well":[187],"We":[193],"explained":[195],"how":[196,203],"automate":[198],"machine":[204],"learning":[205],"leveraged":[208],"so":[213],"does":[221],"not":[222],"ever":[223],"been":[225],"compromised":[226],"reached":[228],"user":[231],"on":[232],"near":[234],"basis.":[236]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}