the presentation layer much more feasible. Data quality – data access is controlled through data services, which tends to improve data quality, as there is a single point for updates. Once those services are tested, only regression testing is needed, if they remain unchanged for the next deployment. Criticism The drawbacks of DaaS are generally similar to those associated with any type of cloud computing, such as the reliance of the user on the service provider's ability to avoid server downtime from terrorist attacks, power outages or natural disasters. A common criticism specific to the DaaS model is that when compared to traditional data delivery, the consumer is merely "renting" the data, and using it to produce analytics or insights, and, generally, the original data is not available for download. The pitfall of using Data as a Service business model is the problem of data piracy and leaks of sensitive data. Typically, all DaaS business operators develop and use a licensing agreement to protect the intellectual property rights of the data they sell, process or analyze in order to protect the data from any type of copyright infringement, subscription violation, or use violation Despite the fact that DaaS providers sell anonymized data to customers, in some cases the cleaning process leaves a lot of data available to customers and may allow exposing the people included in the dataset. There is also a problem with user consent to the collection, processing and storage of data. Mobile application developers may sell data from users' smartphones, at the same time, the application users may not always be aware of what information is being tracked by the application. Publishers of public data like LinkedIn may consider scraping their public websites for reselling directly or as analytical products not desirable. However, they have had limited success in the courts. There is an argument that scraping public data and making it available either free of charge or as commercial products has economic and social benefits like challenging data monopolies or helping journalism. See also Cloud database References As a service