Spatial data extension for Cassandra NoSQL database

The big data phenomenon is becoming a fact. Continuous increase of digitization and connecting devices to Internet are making current solutions and services smarter, richer and more personalized. The emergence of the NoSQL databases, like Cassandra, with their massive scalability and high availabili...

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Bibliographic Details
Published inJournal of big data Vol. 3; no. 1; pp. 1 - 16
Main Authors Ben Brahim, Mohamed, Drira, Wassim, Filali, Fethi, Hamdi, Noureddine
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 22.06.2016
Springer Nature B.V
Subjects
Big Data
Communications Engineering
Computational Science and Engineering
Computer Science
Data management
Data Mining and Knowledge Discovery
Database Management
Digitization
Information Storage and Retrieval
Mathematical Applications in Computer Science
Networks
Personal communication
Queries
Query languages
Research parks
Response time (computers)
Spatial data
Big data
NoSQL databases
Spatial query
Cassandra DB
Geohash
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Summary:The big data phenomenon is becoming a fact. Continuous increase of digitization and connecting devices to Internet are making current solutions and services smarter, richer and more personalized. The emergence of the NoSQL databases, like Cassandra, with their massive scalability and high availability encourages us to investigate the management of the stored data within such storage system. In our present work, we harness the geohashing technique to enable spatial queries as extension to Cassandra query language capabilities while preserving the native syntax. The developed framework showed the feasibility of this approach where basic spatial queries are underpinned and the query response time is reduced by up to 70 times for a fairly large area.
ISSN:2196-1115
2196-1115
DOI:10.1186/s40537-016-0045-4