NDLI: Big data analysis and query optimization improve HadoopDB performance

Content Provider	ACM Digital Library
Author	Chaoui, Habiba Bissiriou, Cherif A. A.
Abstract	High performance and scalability are two essentials requirements for data analytics systems as the amount of data being collected, stored and processed continue to grow rapidly. In this paper, we propose a new approach based on HadoopDB. Our main goal is to improve HadoopDB performance by adding some components. To achieve this, we incorporate a fast and space-efficient data placement structure in MapReduce-based Warehouse systems and another SQL-to-MapReduce translator. We also replace the initial Database implemented in HadoopDB with other column oriented Database. In addition we add security mechanism to protect MapReduce processing integrity.
Starting Page	1
Ending Page	4
Page Count	4
File Format	PDF
ISBN	9781450329279
DOI	10.1145/2660517.2660529
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-09-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Query execution Hadoop Mapreduce Big data Optimization
Content Type	Text
Resource Type	Article

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Big data analysis and query optimization improve HadoopDB performance