Analytics for Smart Keys Application and User Interface of Streaming Data

Firas Habbal
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Abstract

Big data has been a challenge for organizations and technology professionals because conventional software applications have struggled in the maintenance and analysis of big data. These software applications did not consider the immense growth of user generated data and struggled to keep up with the pace of the technology. It necessitated developing new applications that focused on the principles of artificial intelligence and data mining such that a heuristic search could provide meaningful results for big data. Smart keys applications and user interface of data streaming are two examples where it is crucial to manage big data for gaining competitive advantage in the contemporary context. This study analyses different aspects of big data in the context of analytics for smart keys application and user interface of streaming data. The study is based on the collection and analysis of secondary data. Data was collected from peer-reviewed journal articles, books, technology magazines, and other authenticated sources. The findings of the study indicated significant benefits of using big data analytics in smart keys applications and user streaming for big data. These applications are the best candidates for applying the concepts of big data analytics and organizations can gain a competitive advantage from the implementation.
智能密钥应用与流数据用户界面分析
对于组织和技术专业人员来说,大数据一直是一个挑战,因为传统的软件应用程序在维护和分析大数据方面遇到了困难。这些软件应用程序没有考虑到用户生成数据的巨大增长,难以跟上技术的步伐。它需要开发新的应用程序,重点关注人工智能和数据挖掘的原理,以便启发式搜索可以为大数据提供有意义的结果。智能钥匙应用程序和数据流的用户界面是两个例子,在当代背景下,管理大数据对于获得竞争优势至关重要。本研究分析了大数据在智能钥匙应用和流数据用户界面分析的背景下的不同方面。本研究基于对二手资料的收集和分析。数据收集自同行评审的期刊文章、书籍、技术杂志和其他经过认证的来源。研究结果表明,在智能钥匙应用程序和大数据的用户流中使用大数据分析具有显著的好处。这些应用程序是应用大数据分析概念的最佳候选,组织可以从实施中获得竞争优势。
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