Data Integration of heterogeneous data sources relies either on periodically transferring large amounts of data to a physical Data Warehouse or retrieving data from the sources on request only. The latter results in the creation of what is referred to as a virtual Data Warehouse, which is preferable when the use of the latest data is paramount. However, the downside is that it adds network traffic and suffers from performance degradation when the amount of data is high. In this paper, we propose the use of a readCheck validator to ensure the timeliness of the queried data and reduced data traffic. It is further shown that the readCheck allows transactions to update data in the data sources obeying full Atomicity, Consistency, Isolation, and Durability (ACID) properties.
@article{arxiv.2110.02026,
title = {Data Validation for Big Live Data},
author = {Malcolm Crowe and Carolyn Begg and Fritz Laux and Martti Laiho},
journal= {arXiv preprint arXiv:2110.02026},
year = {2021}
}