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Please use this identifier to cite or link to this item: http://dspace.azjhpc.org/xmlui/handle/123456789/228
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dc.contributor.authorRagimova N.-
dc.contributor.authorMustafayeva S.-
dc.contributor.authorAbdullayev V.-
dc.contributor.authorBagirli M.-
dc.contributor.authorAbuzarova V.-
dc.contributor.authorKhalilov M.-
dc.date.accessioned2023-12-17T09:56:59Z-
dc.date.available2023-12-17T09:56:59Z-
dc.date.issued2023-05-11-
dc.identifier.urihttp://dspace.azjhpc.org/xmlui/handle/123456789/228-
dc.description.abstractOrganizations now face new issues in handling and utilizing the enormous amounts of data being generated as a result of the advent of big data. A organized strategy, known as the Big Data Process Lifecycle, is required to overcome these problems. Data Ingestion, Data Storage, Data Processing, Data Analysis, and Data Visualization are among the stages involved in this process. Organizations must comprehend the Big Data Process Lifecycle and related technologies in order to manage Big Data effectively and acquire insightful information for making decisions.en_US
dc.language.isoen_USen_US
dc.publisherAzərbaycan Dövlət Neft və Sənaye Universitetien_US
dc.subjectbig dataen_US
dc.subjectHadoop Distributed File System (HDFS)en_US
dc.subjectData Processingen_US
dc.subjectData Analysisen_US
dc.subjectApache Kafkaen_US
dc.subjectApache Sparken_US
dc.subjectData Visualizationen_US
dc.subjectData Storageen_US
dc.subjectBig Data Process Lifecycleen_US
dc.subjectData Ingestionen_US
dc.subjectTableauen_US
dc.titleReview Of Big Data Process Lifecycle And Technologies In Digital Ecosystemen_US
dc.typeBooken_US
dc.source.journaltitle1st INTERNATIONAL CONFERENCE ON THE 4th INDUSTRIAL REVOLUTION AND INFORMATION TECHNOLOGYen_US
dc.source.booktitle1st INTERNATIONAL CONFERENCE ON THE 4th INDUSTRIAL REVOLUTION AND INFORMATION TECHNOLOGYen_US
dc.source.volume1en_US
dc.source.issue1en_US
dc.source.beginpage271en_US
dc.source.endpage275en_US
dc.source.numberofpages5en_US
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