Federated Systems
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Federated Systems
In their working paper, Dana and Candeias (2019) explore the issue of managing data as a requisite for the proposed Fourth Industrial Revolution, according to the World Economic Forum. The authors posit that the “use of data is necessary and readily available, but if misused, it can generate dangerous and unwelcome results.” As such, it is essential to not only protect valuable data but also ensure that its sensitivity, privacy, and applicable policies are considered when using it. The data-policy landscape is becoming complicated and dynamic where sharing of data to the level required and desired to advance research as well as innovation is becoming increasingly difficult. However, through the concept of federated data systems, institutions and policymakers can navigate the different data-policy paradigms and governance challenges that they face.
According to IBM Big SQL, a federated system entails a specialized kind of distributed database management system (DBMS) that comprises of a database situation with operations as a federated server. Again, IBM (n.d.) asserts that a federated database management system is a unique type of database which allows existing localized databases, in a different setting, to maintain high levels of independence. The method also comprises a database that functions as a federated database consisting of clients and one or over one source of data that allows other sources to access information in the database. The implication is that a single federated system operates as the source of solutions for one of more data virtualizations and protocols. For instance, federated identity management is a set up that can be built among multiple organizations to allow subscribers to utilize similar identification data to reach networks of all enterprises in a group.
Rouse (2020) posits that “Identity federation links a user’s identity across multiple security domains, each supporting its identity management system.” Therefore, federated systems like federated identity management (FIM) are essential in protecting identity and data privacy. Again, in a federated system, one SQL statement has the power to access distributed data among different data sources. For instance, an SQL statement can be part of data that is located in separate files like XML tagged file and an Oracle table, among others. Besides, the capability of a federated system is its power to correlate data from localized tables and remote sources as if all the information is stored in one local database. Secondly, a federated system should update and upgrade data based on the sources as if it was stored in one database. Thirdly, a federated system should also have the ability to move data to and from related sources with ease of navigation for users. Further, a federated system takes advantage of the processing capacity of a data source by sending requests to specific sources to process the corresponding data. In addition, it must have the ability to compensate for any limitations that SQL may have at the source of data through the federated server process the parts of the distributed request.
The primary purpose of security associated with the federated system is the provision of security to information technology. For instance, federated identity in an information technology system offers protection to link the characteristics and electronic status of persons, which may be stored in many unique and different management systems regarding the same identity.
References
Dana, G. & Candeias, V. (2019). Federated Data Systems: Balancing Innovation and Trust in the
Use of Sensitive Data. Retrieved from http://www3.weforum.org/docs/WEF_Federated_Data_Systems_2019.pdf
IBM Knowledge Center (n.d.). Federated Systems. Retrieved from
https://www.ibm.com/support/knowledgecenter/en/SSCRJT_5.0.2/com.ibm.data.fluidquery.doc/topics/cfpint01.html
Rouse, M. (n.d). Federated Identity Management. Retrieved from
https://searchsecurity.techtarget.com/definition/federated-identity-management