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Title: | BIG DATA ANALYTIC AND FORECASTING |
Authors: | Mustafayeva, Sevinc |
Keywords: | big data;modeling;heterogeneous data |
Issue Date: | 7-Jun-2024 |
Publisher: | Azerbaijan State Oil and Industry University |
Abstract: | The 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. |
URI: | http://dspace.azjhpc.org/xmlui/handle/123456789/488 |
Journal Title: | İnternational conference on the topic of İnformation Technology Trends dedicated to the 101 st anniversary of Heydar Aliyev |
Volume: | 1 |
Issue: | 1 |
First page number: | 348 |
Last page number: | 352 |
Number of pages: | 5 |
Appears in Collections: | International Conference on the Topic of Information Technology Trends Dedicated to the 101st Anniversary of Heydar Aliyev |
Files in This Item:
File | Description | Size | Format | |
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komf mater Fin 2025 docx-348-352.pdf | 361.98 kB | Adobe PDF | View/Open |
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