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Cloud Data Denormalization of Anonymous Transactions

Authors:
Aspen Olmsted
Gayathri Santhanakrishnan

Keywords: web services; distributed database; modeling

Abstract:
In this paper, we investigate the problem of representing transaction data in PAAS cloud-based systems. We compare traditional database normalization techniques with our denormalized approach. In this research, we specifically focus on transactional data that is not attached to a specific customer. The absence of the relationship in the customer object allows for the vertical merging of tuples. to be stored in aggregate form. The journaling features of the data store, allow full audits of transactions while not requiring anonymous data to be materialized in fine-grained levels. The horizontal merging of objects is also deployed to remove detail lookup data instance records and replace them with business rule objects.

Pages: 42 to 46

Copyright: Copyright (c) IARIA, 2016

Publication date: March 20, 2016

Published in: conference

ISSN: 2308-4294

ISBN: 978-1-61208-460-2

Location: Rome, Italy

Dates: from March 20, 2016 to March 24, 2016