Big Data and Query Optimization Techniques

被引：3

作者：

Chugh, Aarti ^{[1
]}

Sharma, Vivek Kumar ^{[2
]}

Jain, Charu ^{[1
]}

机构：

[1] Amity Univ, Gurgaon, Haryana, India

[2] Jagannath Univ, Jaipur, Rajasthan, India

来源：

ADVANCES IN COMPUTING AND INTELLIGENT SYSTEMS, ICACM 2019 | 2020年

关键词：

Big Data; Query optimization; Unstructured data; Hadoop; Hive;

D O I：

10.1007/978-981-15-0222-4_30

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With rise in new technologies like Big Data, Internet of Things, Sensor Networks, etc. new query processing and optimization techniques have been evolved which handles the complex and interactive queries. Traditional query processing systems are not capable enough to handle queries on big data. In this paper, we represent many of the big data querying techniques along with the comparative analysis. Finally, the paper concludes with list of tools/techniques that are used for big data query optimization.

引用

页码：337 / 345

页数：9

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