Data Integration – Mashup Service {1}

by Andrew M
The article I read was entitled “Service-Oriented Architecture for High-Dimensional Private Data Mashup” by B. Fung, T. Trojer, P. Hung, L. Xiong, K. Al-Hussaeni and R. Dssouli. This article talks about the integration of data for a service known as Mashup. Mashup combines and integrates data from multiple sources and databases for web applications. The authors use the example of a social media website such as Facebook as an example. Facebook uses Mashup in the sense that it is collecting data from the user in the ways of status updates, Instagram photos, Spotify songs and check-in’s at locations. All of these are examples of data that is being sent in from multiple sources and be combined together. The authors talk through this article about the multiple issues that are faced in protecting user’s data in this type of service. While users usually never give out phone numbers, addresses or Social Security Numbers, much important information is still given out. For example, when a person checks-in at a location, they are broadcasting to everyone that they are at a certain location. This allows potentially unwanted people to have a reference as to where this user is from. read more...

Other People’s data {4}

by Sam T
In this peer reviewed journal, the author discusses about how every company bases some of it’s decisions on external data sources. There are so many data sources from publicly available web services, to sales data to government census data. There’s so much external data and the many ways to get it, it has to be treated differently than internal data. In order to accommodate every user’s data in a timely manner, there has to be a trade-off, where there are three, flexibility, quality and cost when it comes to data integration. read more...