NDLI: D8-tree: a de-normalized approach for multidimensional data analysis on key-value databases

Content Provider	ACM Digital Library
Author	Becerra, Yolanda Ayguadé, Eduard Cugnasco, Cesare Torres, Jordi
Abstract	The shift to more parallel and distributed computer architectures changed how data is managed consequently giving birth to a new generation of software products, namely NoSQL. These products offer a scalable and reliable solution for "Big Data", but none of them solves the problem of analyzing and visualizing multidimensional data. There are solutions for scaling analytic workloads, for creating distributed databases and for indexing multidimensional data, but there is no single solution that points to all three goals together. We propose the D8-tree, a De-normalized Octa-tree index that supports all three goals. It works with both analytical and data-thinning queries on multidimensional data ensuring, at the same time, low latency and a linear scalability. We have implemented a D8-tree prototype, and we compared it with PostGIS on a set of queries required by an in-house HPC application. We found the D8-tree outperforming PostGIS in all tested queries, with a performance gain up to 47 times.
Starting Page	1
Ending Page	10
Page Count	10
File Format	PDF
ISBN	9781450340328
DOI	10.1145/2833312.2833314
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-01-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Nosql Key-value database Data visualization Multidimensional index Big data
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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D8-tree: a de-normalized approach for multidimensional data analysis on key-value databases