{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T09:18:18Z","timestamp":1770542298373,"version":"3.49.0"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3039455","type":"journal-article","created":{"date-parts":[[2020,11,20]],"date-time":"2020-11-20T04:33:59Z","timestamp":1605846839000},"page":"210597-210616","source":"Crossref","is-referenced-by-count":14,"title":["An Iterative Methodology for Defining Big Data Analytics Architectures"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7913-1534","authenticated-orcid":false,"given":"Roberto","family":"Tardio","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7770-3693","authenticated-orcid":false,"given":"Alejandro","family":"Mate","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1584-9459","authenticated-orcid":false,"given":"Juan","family":"Trujillo","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/BIGCOMP.2017.7881719"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-97571-9_8"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/BigDataCongress.2017.23"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s12599-017-0513-1"},{"key":"ref5","first-page":"268","article-title":"Classifying big data analytic approaches: A generic architecture","volume-title":"Proc. Int. Conf. Softw. Technol","author":"Cardinale"},{"key":"ref6","volume-title":"Hadoop: The Definitive Guide","author":"White","year":"2009"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-015-0032-1"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10796-018-9846-7"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/FTC.2016.7821747"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-017-0070-y"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.25300\/MISQ\/2016\/40:4.03"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-64283-3_1"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/9781118984123.ch15"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICEBE.2018.00053"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICODSE.2014.7062702"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2015.7363798"},{"key":"ref17","volume-title":"Hadoop and Data Lakes: Use Cases, Benefits and Limitations","author":"Grosser","year":"2016"},{"key":"ref18","volume-title":"TDWI Best Practices Report","author":"Russom","year":"2013"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-79069-5"},{"key":"ref20","first-page":"177","volume-title":"Big Energy Data Management for Smart Grids\u2014Issues, Challenges and Recent Developments, in Smart Cities: Development and Governance Frameworks","author":"Potdar","year":"2018"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s12525-016-0219-0"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s10796-017-9734-6"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-017-4644-7"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s10796-018-9833-z"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.infsof.2017.06.001"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2948992.2949024"},{"key":"ref27","volume-title":"The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling","author":"Kimball","year":"2013"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2005.11.004"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-76292-8_31"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1093\/database\/bax049"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1297"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66917-5_1"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2017.3481351"},{"key":"ref34","volume-title":"Magic quadrant for analytics and business intelligence platforms","author":"Howson","year":"2018"},{"key":"ref35","first-page":"1138","article-title":"Why you should run TPC-DS: A workload analysis","volume-title":"Proc. 33rd Int. Conf. Very Large Data Bases (VLDB)","author":"Poess"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2733001"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2771519"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09264179.pdf?arnumber=9264179","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,24]],"date-time":"2024-01-24T01:05:14Z","timestamp":1706058314000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9264179\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3039455","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}