Question 1
Discuss three (3) issues to consider during data integration. Give an example of a real world problem for each issue.
Solution:
Three issues to consider during data integration:
1. Varied Information
The coordination of a large volume of varied information from the inherent systems occurs in data integration. These inherent systems are produced from hierarchical databases. The inherent database keeps on adding newer data in order to increase the value. There are different strategies for copying data with the heterogeneity.
Real world problem: At first, a data warehouse is selected as the environment that fulfills the needs of various business services and also helps in the data utilization. The data format is then made a standard, in order to be used by any type of applications. Collecting different data from various databases and then adding them up in a single database is quite tender. It is a very challenging task.
2. Lack of Manpower
As data integration is increasing day by day, its applications are also increasing but the demand of manpower is still high and the number of skilled people is not able to fulfill this high demand. With the development of the advanced databases, the data from the old databases need to be carried to the newly built databases and for that, a high budget is required. A low budget becomes a hindrance for such data transfer.
Real world problem: An expert data manager and a project leader are enough to take care of the data integration process if they have got all the skill set and required experience. A modular and robust environment for better data integration and for better data transfer is possible only if you are too careful in choosing out the best candidates with true practical experiences and skill sets.
3. Awful Information
Data should be of good quality or else it always affects adversely for data integration process. Databases have to face serious database problems due to impure data features. So in order to have a good quality data integration, the data that are added should be good, if the data is not good, then, the integration has to be investigated again and again to ensure that it does not affect the quality.
Real world problem: From the very starting, tests and practices on data quality are needed. So that from the initial, each step is controlled to have a better quality data integration.
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Question 1 Discuss three (3) issues to consider during data integration. Give an example of a...
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