Please use this identifier to cite or link to this item: http://dspace.azjhpc.org/xmlui/handle/123456789/228
Title: Review Of Big Data Process Lifecycle And Technologies In Digital Ecosystem
Authors: Ragimova N.
Mustafayeva S.
Abdullayev V.
Bagirli M.
Abuzarova V.
Khalilov M.
Keywords: big data;Hadoop Distributed File System (HDFS);Data Processing;Data Analysis;Apache Kafka;Apache Spark;Data Visualization;Data Storage;Big Data Process Lifecycle;Data Ingestion;Tableau
Issue Date: 11-May-2023
Publisher: Azərbaycan Dövlət Neft və Sənaye Universiteti
Abstract: Organizations 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.
URI: http://dspace.azjhpc.org/xmlui/handle/123456789/228
Journal Title: 1st INTERNATIONAL CONFERENCE ON THE 4th INDUSTRIAL REVOLUTION AND INFORMATION TECHNOLOGY
metadata.dc.source.booktitle: 1st INTERNATIONAL CONFERENCE ON THE 4th INDUSTRIAL REVOLUTION AND INFORMATION TECHNOLOGY
Volume: 1
Issue: 1
First page number: 271
Last page number: 275
Number of pages: 5
Appears in Collections:1st INTERNATIONAL CONFERENCE ON THE 4th INDUSTRIAL REVOLUTION AND INFORMATION TECHNOLOGY

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