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Survey of in-memory big data analytics and latest research opportunities

机译:内存中大数据分析调查和最新研究机会

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Big data analytics is the latest technology in the field of Computer Science and Information Technology. Big data analytics techniques are very useful and widely applied in all the types of business organizations. There are many research areas and opportunities in the area of big data analytics. Big data refer to large size, various types and quickly generating data. Data is an important knowledge base and further helps in designing business strategies. Big data analytics is an extraction of knowledge by processing big data. Big data analytics have many challenges to deal with as first, to process large amount of data, second to process it faster and third to give results in real time. This paper explores the different facets of big data analytics such as: frameworks and platforms, parallelism mechanisms and indexing techniques. This paper presents important future research directions.
机译:大数据分析是计算机科学和信息技术领域的最新技术。大数据分析技术非常有用,并广泛应用于所有类型的业务组织中。大数据分析领域有许多研究领域和机会。大数据指的是大容量,各种类型并快速生成数据的数据。数据是重要的知识库,可进一步帮助设计业务策略。大数据分析是通过处理大数据来提取知识。大数据分析面临许多挑战,首先要处理大量数据,其次要更快地处理数据,其次要实时提供结果。本文探讨了大数据分析的不同方面,例如:框架和平台,并行机制和索引技术。本文提出了重要的未来研究方向。

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