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dc.contributor.authorMustafayeva, Sevinc-
dc.date.accessioned2025-03-30T13:41:08Z-
dc.date.available2025-03-30T13:41:08Z-
dc.date.issued2024-06-07-
dc.identifier.urihttp://dspace.azjhpc.org/xmlui/handle/123456789/488-
dc.description.abstractThe main goal of solutions in this area is the distribution of data storage and processing. Today, there are a huge number of architectural solutions and tools used for big data. The technology for storing and analyzing big data is promising based on forecast analysis. Big data characterized by various characteristics, referred to as “Vs”. Analysis of the literature shows that today the most important characteristic of big data is data heterogeneity. It is the analysis of heterogeneous data that can give tangible results when modeling data. Big data is a powerful tool that helps firms advance, improve bottom lines, and refine decision-making processes. This impact clearly demonstrated by the big data statistics and trends discussed in this article.en_US
dc.language.isoenen_US
dc.publisherAzerbaijan State Oil and Industry Universityen_US
dc.subjectbig dataen_US
dc.subjectmodelingen_US
dc.subjectheterogeneous dataen_US
dc.titleBIG DATA ANALYTIC AND FORECASTINGen_US
dc.typeBooken_US
dc.source.journaltitleİnternational conference on the topic of İnformation Technology Trends dedicated to the 101 st anniversary of Heydar Aliyeven_US
dc.source.volume1en_US
dc.source.issue1en_US
dc.source.beginpage348en_US
dc.source.endpage352en_US
dc.source.numberofpages5en_US
Appears in Collections:International Conference on the Topic of Information Technology Trends Dedicated to the 101st Anniversary of Heydar Aliyev

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