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Data schemas of noSQL stores for the storage of sensor data

Katsantonis, F. (2014) Data schemas of noSQL stores for the storage of sensor data. Master's Thesis / Essay, Computing Science.

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In this thesis we are concerned with the storage of sensor data. Sensor data can also be characterized as time series data. The exponential increase of sensor data exposes the scalability issues of relational databases. noSQL databases are a new type of data stores, which are built with scalability and availability in mind. The capabilities provided by these databases, makes them a good candidate for the storage of time series data. The purpose of this thesis is to compare different data schemas for noSQL databases and their applicability for the storage of sensor data. An overview of noSQL database taxonomies is presented. Also, various data schemas used by experts in production are researched and presented. This gives an insight on which data schemas are appropriate for the storage of time series. Next, we perform load tests using Cassandra, which is a noSQL database suitable for the storage of sensor data. The tests are performed with regard to performance of different data schemas for the storage of sensor data. A test structure and scennarios are defined and different data schemas are tested on the basis of throughput and latency. The results are expected to provide suggestions for the suitable noSQL data schemas to use in different situations when storing time series data.

Item Type: Thesis (Master's Thesis / Essay)
Degree programme: Computing Science
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 15 Feb 2018 07:56
Last Modified: 15 Feb 2018 07:56

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