{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,20]],"date-time":"2025-07-20T03:49:12Z","timestamp":1752983352218,"version":"3.40.3"},"publisher-location":"Cham","reference-count":74,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030821951"},{"type":"electronic","value":"9783030821968"}],"license":[{"start":{"date-parts":[[2021,8,3]],"date-time":"2021-08-03T00:00:00Z","timestamp":1627948800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,8,3]],"date-time":"2021-08-03T00:00:00Z","timestamp":1627948800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-82196-8_12","type":"book-chapter","created":{"date-parts":[[2021,8,2]],"date-time":"2021-08-02T09:04:52Z","timestamp":1627895092000},"page":"146-165","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Evaluation of Transformation Tools in\u00a0the\u00a0Context of NoSQL Databases"],"prefix":"10.1007","author":[{"given":"Sarah Myriam Lydia","family":"Hahn","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ionela","family":"Chereja","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oliviu","family":"Matei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,8,3]]},"reference":[{"key":"12_CR1","unstructured":"Amazon Web Services Inc.: Amazon dynamodb (2020)"},{"key":"12_CR2","unstructured":"Amazon Web Services Inc.: What is amazon dynamodb? (2020)"},{"issue":"6","key":"12_CR3","first-page":"505","volume":"3","author":"L Atriwal","year":"2016","unstructured":"Atriwal, L., Nagar, P., Tayal, S., Gupta, V.: Business intelligence tools for big data. J. Basic Appl. Eng. Res. 3(6), 505\u2013509 (2016)","journal-title":"J. Basic Appl. Eng. Res."},{"issue":"1","key":"12_CR4","first-page":"148","volume":"10","author":"SM Basha","year":"2019","unstructured":"Basha, S.M., Bagyalakshmi, K., Ramesh, C., Rahim, R., Manikandan, R., Kumar, A.: Comparative study on performance of document classification using supervised machine learning algorithms: Knime. Int. J. Emerg. Technol. 10(1), 148\u2013153 (2019)","journal-title":"Int. J. Emerg. Technol."},{"issue":"1","key":"12_CR5","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1186\/1471-2105-14-257","volume":"14","author":"S Beisken","year":"2013","unstructured":"Beisken, S., Meinl, T., Wiswedel, B., de Figueiredo, L.F., Berthold, M., Steinbeck, C.: KNIME-CDK: workflow-driven cheminformatics. BMC Bioinform. 14(1), 257 (2013)","journal-title":"BMC Bioinform."},{"key":"12_CR6","unstructured":"Belyy, A., Xu, F., Herdan, T., He, M., Syed, A., Cao, W., Yee, M.: Dataset previews for ETL transforms, 28 May 2013. US Patent 8,452,723"},{"issue":"8","key":"12_CR7","doi-asserted-by":"publisher","first-page":"717","DOI":"10.1016\/j.datak.2011.03.003","volume":"70","author":"S Bergamaschi","year":"2011","unstructured":"Bergamaschi, S., Guerra, F., Orsini, M., Sartori, C., Vincini, M.: A semantic approach to ETL technologies. Data Knowl. Eng. 70(8), 717\u2013731 (2011)","journal-title":"Data Knowl. Eng."},{"issue":"1\u20132","key":"12_CR8","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1080\/01449299408914592","volume":"13","author":"N Bevan","year":"1994","unstructured":"Bevan, N., Macleod, M.: Usability measurement in context. Behav. Inf. Technol. 13(1\u20132), 132\u2013145 (1994)","journal-title":"Behav. Inf. Technol."},{"key":"12_CR9","unstructured":"Beyer, M.A., Laney, D.: The importance of \u2018big data\u2019: a definition, pp. 2014\u20132018. Gartner, Stamford, CT (2012)"},{"key":"12_CR10","unstructured":"Bhide, M.A.,Bonagiri, K.K., Mittapalli, S.K.: Column based data transfer in extract transform and load (ETL) systems, 20 August 2013. US Patent 8,515,898"},{"key":"12_CR11","doi-asserted-by":"crossref","unstructured":"Badiuzzaman Biplob, Md., Sheraji, G.A., Khan, S.I.: Comparison of different extraction transformation and loading tools for data warehousing. In: 2018 International Conference on Innovations in Science, Engineering and Technology (ICISET), pp. 262\u2013267. IEEE (2018)","DOI":"10.1109\/ICISET.2018.8745574"},{"issue":"5","key":"12_CR12","doi-asserted-by":"publisher","first-page":"106","DOI":"10.3390\/a12050106","volume":"12","author":"J-K Chen","year":"2019","unstructured":"Chen, J.-K., Lee, W.-Z.: An introduction of NoSQL databases based on their categories and application industries. Algorithms 12(5), 106 (2019)","journal-title":"Algorithms"},{"key":"12_CR13","volume-title":"Hands-On Data Warehousing with Azure Data Factory: ETL Techniques to Load and Transform Data from Various Sources, Both On-premises and on Cloud","author":"C Cot\u00e9","year":"2018","unstructured":"Cot\u00e9, C., Gutzait, M.K., Ciaburro, G.: Hands-On Data Warehousing with Azure Data Factory: ETL Techniques to Load and Transform Data from Various Sources, Both On-premises and on Cloud. Packt Publishing Ltd., Birmingham (2018)"},{"key":"12_CR14","unstructured":"Davenport, R.J.: ETL vs ELT: a subjective view. Insource Commercial aspects of BI whitepaper (2008)"},{"key":"12_CR15","unstructured":"Ding, G., Wu, Q., Wang, J., Yao, Y.-D.: Big spectrum data: the new resource for cognitive wireless networking (2014)"},{"key":"12_CR16","doi-asserted-by":"crossref","unstructured":"El Akkaoui, Z., Zimanyi, E., Maz\u00f3n, J.-N., Trujillo, J.: A model-driven framework for ETL process development. In: DOLAP 2011: Proceedings of the ACM 14th International Workshop on Data Warehousing and OLAP, pp. 45\u201352, October 2011","DOI":"10.1145\/2064676.2064685"},{"key":"12_CR17","doi-asserted-by":"crossref","unstructured":"Fatima, H., Wasnik, K.: Comparison of SQL, NoSQL and NewSQL databases for internet of things. In: 2016 IEEE Bombay Section Symposium (IBSS), pp. 1\u20136. IEEE (2016)","DOI":"10.1109\/IBSS.2016.7940198"},{"key":"12_CR18","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/j.jbiotec.2017.07.028","volume":"261","author":"A Fillbrunn","year":"2017","unstructured":"Fillbrunn, A., Dietz, C., Pfeuffer, J., Rahn, R., Landrum, G.A., Berthold, M.R.: Knime for reproducible cross-domain analysis of life science data. J. Biotechnol. 261, 149\u2013156 (2017)","journal-title":"J. Biotechnol."},{"key":"12_CR19","unstructured":"Gajendran, S.K.: A survey on NoSQL databases. University of Illinois (2012)"},{"key":"12_CR20","unstructured":"Gantz, J., Reinsel, D.: The 2011 digital universe study: Extracting value from chaos. IDC: Sponsored by EMC Corporation (2011)"},{"key":"12_CR21","unstructured":"Gartner Inc.: Magic quadrant research methodology (2020)"},{"key":"12_CR22","unstructured":"Giovinazzo, W.: Bi: Only as good as its data quality. Information Management Special Reports (2009)"},{"issue":"4","key":"12_CR23","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1109\/MAHC.2012.66","volume":"34","author":"B Grad","year":"2012","unstructured":"Grad, B.: Relational database management systems: the formative years [guest editor\u2019s introduction]. IEEE Ann. Hist. Comput. 34(4), 7\u20138 (2012)","journal-title":"IEEE Ann. Hist. Comput."},{"key":"12_CR24","unstructured":"Graham, P.: Data quality: you don\u2019t just need a dashboard! strategy execution. DM Rev. Mag., 10001727\u20131 (2008)"},{"issue":"1","key":"12_CR25","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1186\/2192-113X-2-22","volume":"2","author":"K Grolinger","year":"2013","unstructured":"Grolinger, K., Higashino, W.A., Tiwari, A., Capretz, M.A.M.: Data management in cloud environments: NoSQL and NewSQL data stores. J. Cloud Comput. Adv. Syst. Appl. 2(1), 22 (2013)","journal-title":"J. Cloud Comput. Adv. Syst. Appl."},{"key":"12_CR26","doi-asserted-by":"crossref","unstructured":"Gudivada, V.N., Rao, D., Raghavan, V.V.: NoSQL systems for big data management. In: 2014 IEEE World Congress on Services, pp. 190\u2013197. IEEE (2014)","DOI":"10.1109\/SERVICES.2014.42"},{"key":"12_CR27","unstructured":"Han, J., Haihong, E., Le, G., Du, J.: Survey on NoSQL database. In: 2011 6th International Conference on Pervasive Computing and Applications, pp. 363\u2013366. IEEE (2011)"},{"key":"12_CR28","doi-asserted-by":"crossref","unstructured":"Han, J., Song, M., Song, J.: A novel solution of distributed memory NoSQL database for cloud computing. In: 2011 10th IEEE\/ACIS International Conference on Computer and Information Science, pp. 351\u2013355. IEEE (2011)","DOI":"10.1109\/ICIS.2011.61"},{"issue":"2","key":"12_CR29","doi-asserted-by":"publisher","first-page":"1043","DOI":"10.1166\/asl.2018.10683","volume":"24","author":"MHM Hanif","year":"2018","unstructured":"Hanif, M.H.M., Adewole, K.S., Anuar, N.B., Kamsin, A.: Performance evaluation of machine learning algorithms for spam profile detection on twitter using WEKA and RapidMiner. Adv. Sci. Lett. 24(2), 1043\u20131046 (2018)","journal-title":"Adv. Sci. Lett."},{"key":"12_CR30","unstructured":"Hitachi Vantara LLC. Pentaho enterprise edition\u2014hitachi vantara (2020)"},{"key":"12_CR31","unstructured":"Holst, A.: Volume of data\/information created worldwide from 2010 to 2024 (2020)"},{"key":"12_CR32","unstructured":"HVR Software Inc.: Enterprise data integration software\u2014hvr (2020)"},{"key":"12_CR33","unstructured":"IBM United Kingdom Limited: IBM - United Kingdom (2020)"},{"key":"12_CR34","unstructured":"Informatica. Enterprise cloud data management\u2014informatica deutschland (2020)"},{"key":"12_CR35","doi-asserted-by":"crossref","unstructured":"Ismail, R., Syed, T.A., Musa, S.: Design and implementation of an efficient framework for behaviour attestation using n-call slides. In: Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication, pp. 1\u20138 (2014)","DOI":"10.1145\/2557977.2558002"},{"key":"12_CR36","unstructured":"ISO: Ergonomische Anforderungen f\u00fcr B\u00fcrot\u00e4tigkeiten mit Bildschirmger\u00e4ten - Teil 11: Anforderungen an die Gebrauchstauglichkeit - Leits\u00e4tze. Beuth Verlag, Berlin (1999)"},{"key":"12_CR37","unstructured":"ISO: Ergonomische Anforderungen f\u00fcr B\u00fcrot\u00e4tigkeiten mit Bildschirmger\u00e4ten - Teil 1: Allgemeine Einf\u00fchrung (ISO 9241\u20131:1997) (enth\u00e4lt \u00c4nderung AMD 1:2001); Deutsche Fassung EN ISO 9241\u20131:1997 + A1:2001. Beuth Verlag, Berlin (2002)"},{"key":"12_CR38","unstructured":"ISO: Deutsche Norm DIN EN ISO 6385: Grunds\u00e4tze der Ergonomie f\u00fcr die Gestaltung von Arbeitssystemen (ISO 6385:2004); deutsche Fassung EN ISO 6385:2004. Beuth Verlag, Berlin (2004)"},{"key":"12_CR39","doi-asserted-by":"crossref","unstructured":"Jing Han, Haihong, E., Le, G., Du, J.: Survey on NoSQL database. In: 2011 6th International Conference on Pervasive Computing and Applications, pp. 363\u2013366 (2011)","DOI":"10.1109\/ICPCA.2011.6106531"},{"key":"12_CR40","unstructured":"Katragadda, R., Tirumala, S.S., Nandigam, D.: ETL tools for data warehousing: an empirical study of open source Talend Studio versus Microsoft SSIS. In: Computing Conference Papers [147] (2015)"},{"key":"12_CR41","unstructured":"Kelly, A., Kelly, A.M., McCreary, D.: Making Sense of NoSQL: a Guide for Managers and the Rest of Us (2013)"},{"key":"12_CR42","doi-asserted-by":"crossref","unstructured":"Kherdekar, V.A., Metkewar, P.S.: A technical comprehensive survey of ETL tools. In: Advanced Engineering Research and Applications, p. 20 (2016)","DOI":"10.37622\/IJAER\/11.4.2016.2557-2559"},{"key":"12_CR43","unstructured":"KNIME AG: Knime\u2014open for innovation (2020)"},{"issue":"2","key":"12_CR44","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1109\/MC.2010.58","volume":"43","author":"N Leavitt","year":"2010","unstructured":"Leavitt, N.: Will NoSQL databases live up to their promise? Computer 43(2), 12\u201314 (2010)","journal-title":"Computer"},{"key":"12_CR45","doi-asserted-by":"crossref","unstructured":"Mell, P., Grance, T., et al.: The NIST definition of cloud computing. NIST special publication, 800\u2013145 (2011)","DOI":"10.6028\/NIST.SP.800-145"},{"key":"12_CR46","unstructured":"Microsoft: Data factory - datenintegrationsdienst\u2014microsoft azure (2020)"},{"key":"12_CR47","unstructured":"MongoDB Inc.: The most popular database for modern apps\u2014mongodb (2020)"},{"key":"12_CR48","doi-asserted-by":"crossref","unstructured":"Mukherjee, R., Kar, P.: A comparative review of data warehousing ETL tools with new trends and industry insight. In: 2017 IEEE 7th International Advance Computing Conference (IACC), pp. 943\u2013948. IEEE (2017)","DOI":"10.1109\/IACC.2017.0192"},{"key":"12_CR49","doi-asserted-by":"publisher","first-page":"662","DOI":"10.1016\/j.procs.2016.05.251","volume":"85","author":"A Naik","year":"2016","unstructured":"Naik, A., Samant, L.: Correlation review of classification algorithm using data mining tool: WEKA, Rapidminer, Tanagra, Orange and Knime. Procedia Comput. Sci. 85, 662\u2013668 (2016)","journal-title":"Procedia Comput. Sci."},{"key":"12_CR50","unstructured":"Neo4j Inc.: Neo4j graph platform - the leader in graph databases (2020)"},{"key":"12_CR51","doi-asserted-by":"publisher","DOI":"10.1002\/9781119205005","volume-title":"Big Data Analytics: Turning Big Data Into Big Money","author":"FJ Ohlhorst","year":"2012","unstructured":"Ohlhorst, F.J.: Big Data Analytics: Turning Big Data Into Big Money, vol. 65. Wiley, Hoboken (2012)"},{"issue":"3","key":"12_CR52","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1145\/1394127.1394128","volume":"6","author":"D Pritchett","year":"2008","unstructured":"Pritchett, D.: Base: an acid alternative. Queue 6(3), 48\u201355 (2008)","journal-title":"Queue"},{"key":"12_CR53","unstructured":"Ranjan, V.: A comparative study between ETL (extract, transform, load) and ELT (extract, load and transform) approach for loading data into data warehouse. Technical report (2009). http:\/\/www.ecst.csuchico.edu\/~juliano\/csci693. Viewed 05 Mar 2010"},{"key":"12_CR54","unstructured":"RapidMiner Inc.: Rapidminer\u2014best data science & machine learning platform (2020)"},{"key":"12_CR55","volume-title":"Understanding Azure Data Factory: Operationalizing Big Data and Advanced Analytics Solutions","author":"S Rawat","year":"2018","unstructured":"Rawat, S., Narain, A.: Understanding Azure Data Factory: Operationalizing Big Data and Advanced Analytics Solutions. Apress, New York (2018)"},{"key":"12_CR56","unstructured":"Redis Labs Ltd.: Redis (2020)"},{"key":"12_CR57","doi-asserted-by":"crossref","unstructured":"Sagiroglu, S., Sinanc, D.: Big data: a review. In: 2013 International Conference on Collaboration Technologies and Systems (CTS), pp. 42\u201347 (2013)","DOI":"10.1109\/CTS.2013.6567202"},{"key":"12_CR58","unstructured":"SAS Institute Inc.: Analytics & AI software-l\u00f6sungen f\u00fcr unternehmen\u2014sas (2020)"},{"issue":"3","key":"12_CR59","doi-asserted-by":"publisher","first-page":"38","DOI":"10.4018\/jitwe.2009100603","volume":"4","author":"G Scowen","year":"2009","unstructured":"Scowen, G., Regenbrecht, H.: Increased popularity through compliance with usability guidelines in e-learning web sites. Int. J. Inf. Technol. Web Eng. (IJITWE) 4(3), 38\u201357 (2009)","journal-title":"Int. J. Inf. Technol. Web Eng. (IJITWE)"},{"key":"12_CR60","unstructured":"solidIT consulting & software development GmbH. Db-engines (2020)"},{"key":"12_CR61","doi-asserted-by":"crossref","unstructured":"Song, X., Yan, X., Yang, L.: Design ETL metamodel based on UML profile. In: 2009 Second International Symposium on Knowledge Acquisition and Modeling, vol. 3, pp. 69\u201372. IEEE (2009)","DOI":"10.1109\/KAM.2009.112"},{"key":"12_CR62","doi-asserted-by":"crossref","unstructured":"Stonebraker, M., Madden, S., Abadi, D.J., Harizopoulos, S., Hachem, N., Helland, P.: The end of an architectural era: It\u2019s time for a complete rewrite. In: Making Databases Work: The Pragmatic Wisdom of Michael Stonebraker, pp. 463\u2013489. Morgan & Claypool (2018)","DOI":"10.1145\/3226595.3226637"},{"key":"12_CR63","unstructured":"Talend: Talend - a cloud data integration leader (modern ETL) (2020)"},{"key":"12_CR64","unstructured":"Tayade, D.M.: Comparative study of ETL and E-LT in data warehousing (2019)"},{"key":"12_CR65","unstructured":"The Apache Software Foundation. Apache cassandra documentation v4.0-beta3 (2020)"},{"key":"12_CR66","unstructured":"The Apache Software Foundation. Welcome to apache hbase$$^{\\rm TM}$$ (2020)"},{"key":"12_CR67","doi-asserted-by":"crossref","unstructured":"Theodorou, V., Abell\u00f3, A., Lehner, W.: Quality measures for ETL processes. In: International Conference on Data Warehousing and Knowledge Discovery, pp. 9\u201322. Springer (2014)","DOI":"10.1007\/978-3-319-10160-6_2"},{"key":"12_CR68","unstructured":"TIBCO Software Inc.: Reporting- und analysesoftware (2020)"},{"key":"12_CR69","doi-asserted-by":"crossref","unstructured":"Tudorica, B.G., Bucur, C.: A comparison between several NoSQL databases with comments and notes. In: 2011 RoEduNet International Conference 10th Edition: Networking in Education and Research, pp. 1\u20135. IEEE (2011)","DOI":"10.1109\/RoEduNet.2011.5993686"},{"issue":"10","key":"12_CR70","first-page":"20","volume":"7","author":"V Vargas","year":"2016","unstructured":"Vargas, V., Syed, A., Mohammad, A., Halgamuge, M.N.: Pentaho and Jaspersoft: a comparative study of business intelligence open source tools processing big data to evaluate performances. Int. J. Adv. Comput. Sci. Appl. 7(10), 20\u201329 (2016)","journal-title":"Int. J. Adv. Comput. Sci. Appl."},{"key":"12_CR71","doi-asserted-by":"crossref","unstructured":"Zafar, R., Yafi, E., Zuhairi, M.F., Dao, H.: Big data: the NoSQL and RDBMS review. In: 2016 International Conference on Information and Communication Technology (ICICTM), pp. 120\u2013126. IEEE (2016)","DOI":"10.1109\/ICICTM.2016.7890788"},{"key":"12_CR72","unstructured":"Zaidi, E., Thoo, E., Heudecker, N., Menon, S., Thanaraj, R.: Gartner magic quadrant for data integration tools. Gartner Group (2020)"},{"key":"12_CR73","unstructured":"Zaidi, E., Thoo, E., Heudecker, N., Menon, S., Thanaraj, R.: Magic quadrant for data integration tools, 2020 (2020)"},{"key":"12_CR74","unstructured":"Zamanian, K., Nesamoney, D.: Apparatus and method for performing data transformations in data warehousing, 15 January 2002. US Patent 6,339,775"}],"container-title":["Lecture Notes in Networks and Systems","Intelligent Systems and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-82196-8_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,20]],"date-time":"2022-05-20T19:19:50Z","timestamp":1653074390000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-82196-8_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,3]]},"ISBN":["9783030821951","9783030821968"],"references-count":74,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-82196-8_12","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2021,8,3]]},"assertion":[{"value":"3 August 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IntelliSys","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Proceedings of SAI Intelligent Systems Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Amsterdam","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"intellisys2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/saiconference.com\/IntelliSys","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}