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Proceedings of the 13th Symposium on Cloud Computing, 2022
As a popular distributed data warehouse system, Apache Hive has been widely used for big data analytics in many organizations. Meanwhile, exploiting the massive parallelism of GPU to accelerate online analytical processing (OLAP) has been extensively explored in the database community.
Haotian Liu +18 more
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As a popular distributed data warehouse system, Apache Hive has been widely used for big data analytics in many organizations. Meanwhile, exploiting the massive parallelism of GPU to accelerate online analytical processing (OLAP) has been extensively explored in the database community.
Haotian Liu +18 more
openaire +1 more source
Performance Comparison Between Apache Hive and Oracle SQL for Big Data Analytics
2017Big data shall mean the massive volume of data that could not be stored, processed and managed by any traditional database management systems. Big Data Analytics becoming a comprehensive research area today this has attracted to all academia and industry to extract knowledge and information from a large amount of data.
Rotsnarani Sethy +2 more
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Optimization of Multiple Queries for Big Data with Apache Hadoop/Hive
2015 International Conference on Computational Intelligence and Communication Networks (CICN), 2015Hive is a data warehouse infrastructure tool to process structured data in Hadoop. It resides on top of Hadoop to summarize Big Data, and makes querying and analyzing easy. The Hadoop MapReduce framework speed up the execution of queries. This manuscript proposes the use of Multi Query Optimization (MQO) technique to enhance the overall performance of ...
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Big data emerging technologies: A CaseStudy with analyzing twitter data using apache hive
2015 2nd International Conference on Recent Advances in Engineering & Computational Sciences (RAECS), 2015These are the days of Growth and Innovation for a better future. Now-a-days companies are bound to realize need of Big Data to make decision over complex problem. Big Data is a term that refers to collection of large datasets containing massive amount of data whose size is in the range of Petabytes, Zettabytes, or with high rate of growth, and ...
Aditya Bhardwaj +4 more
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OPTIMIZED BIG DATA STORAGE WITH APACHE HIVE
НАУКА, ИННОВАЦИИ И ТЕХНОЛОГИИ: ОТ ИДЕЙ К ВНЕДРЕНИЮ. Материалы Международной научно-практической конференции, 2022Gordei Vladimirovich Vasilev +1 more
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Big Data Analytics Using Apache Hive to Analyze Health Data
2019A large volume of data is stored electronically. It is very difficult to measure the total volume of that data. This large amount of data is coming from various sources such as stock exchange, which may generate terabytes of data every day, Facebook, which may take about one petabyte of storage, and internet archives, which may store up to two ...
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Performance Analysis of Apache Hadoop Using Hive on COVID19 Datasets
Journal of Computer Science & Computational Mathematics, 2023Mohamed Faris Laham +4 more
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Retailing Analysis Using Hadoop and Apache Hive
International journal of simulation: systems, science & technology, 2020openaire +1 more source
Performance Comparison Between Apache Hive and Oracle SQL for Big Data Analytics
Advances in Intelligent Systems and Computing, 2018Mrutyunjaya Panda
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