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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Big Data Analytic Tools, Applications and its Significance |
| Authors Name: | Khalid Hasan Mahmoud Alsinjlawi |
| Unique Id: | IJSDR2303222 |
| Published In: | Volume 8 Issue 3, March-2023 |
| Abstract: | Abstract: Big data analytic tools are used to extract information from large amounts of data, which can be an overwhelming process for humans. These tools allow you to identify trends and patterns in your data and make predictions about future behaviour based on what you learn from your past actions. Data analytics tools are used to help us understand the meaning of large amounts of data. There are many different types of big data analytic tools, each using different algorithms and techniques to gain insight. The most commonly used big data analytic tools are artificial intelligence (AI) and machine learning (ML). AI is a subset of big data analytics that uses algorithms to learn from past experiences, in order to make decisions in the future. ML is the use of computers to find patterns in datasets by analyzing data and making associations between variables. Big data analytic tools allow companies to collect, process and analyze large amounts of data. The size of the data sets can be in petabytes, exabytes, or even zettabytes. The tool helps companies to make decisions based on the analysis of this data. This paper discusses the different big data analytic tools, their applications, features and availability to help organizations make better decisions. |
| Keywords: | Index Terms: Big data, analytics tools, artificial intelligence, machine learning, datasets |
| Cite Article: | "Big Data Analytic Tools, Applications and its Significance", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 3, page no.1342 - 1345, March-2023, Available :http://www.ijsdr.org/papers/IJSDR2303222.pdf |
| Downloads: | 000337355 |
| Publication Details: | Published Paper ID: IJSDR2303222 Registration ID:204949 Published In: Volume 8 Issue 3, March-2023 DOI (Digital Object Identifier): Page No: 1342 - 1345 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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