Importance of Data Integration in Discovering the Techniques Considering Data Architecture, Data Mining, Warehouse Intelligent Knowledge, Data Exchange

Dr.K . Balaji, Sunil Mp
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Abstract

The entire research has performed to analyse how data integration helps to discover the techniques considering data architecture, data mining, warehouse intelligent knowledge, data exchange. Data is one of the most significant assets for the modern day’s business companies as it provides the assistance to perform the overall business of a company with more strategic process while become more oriented with the consumers need. It helps to proceed with more convenient and effective decisions within business which helps to gain higher business advantage. The entire study have been followed inductive approach, qualitative types of design and secondary data collection process in order to make most effective results on the study topic. A multiple numbers of concepts associated with data integration, data architecture, data mining, warehouse intelligent knowledge, data exchange has discussed within the study. It helps to gain a higher grip over the topic and evaluate the overall study most efficiently. The entire advantages and process of data integration to adopt effective data architecture, data mining, warehouse intelligent knowledge, and data exchange have been analysed within the entire discussion. It will provide a superior insight about the topic which helps business organizations to adopt most suitable data analysis and decision making strategy in the competitive business sphere.
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数据集成在发现数据体系结构、数据挖掘、仓库智能知识、数据交换等技术中的重要性
整个研究分析了数据集成如何帮助发现数据架构、数据挖掘、仓库智能知识、数据交换等技术。数据是现代商业公司最重要的资产之一,因为它提供了帮助,以更具战略性的流程执行公司的整体业务,同时更加面向消费者的需求。它有助于在业务中进行更方便和有效的决策,从而有助于获得更高的业务优势。整个研究遵循归纳法,定性类型的设计和二次数据收集过程,以便对研究主题做出最有效的结果。在研究中讨论了与数据集成、数据架构、数据挖掘、仓库智能知识、数据交换相关的多个概念。这有助于更好地掌握主题,并最有效地评估整体学习。在整个讨论中,分析了采用有效的数据架构、数据挖掘、智能知识仓库和数据交换进行数据集成的整个优势和过程。它将提供关于该主题的卓越见解,帮助商业组织在竞争激烈的商业领域采用最合适的数据分析和决策策略。
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