Data integration can simply be defined as the process where data that belongs to different sources are combined together to produce one unified view. Usually, the data integration process is linked with a variety of solutions. It includes both scientific as well as commercial domains. At the end of data integration, it would be possible to obtain trusted data that comes from many different sources.
Plenty of reasons are available for the people to go for data integration. They include:
Build confidence in data – If warehouse data is trusted and secured even with the best antivirus, it would be possible to depend on them. This can provide an excellent assistance when handling large scale projects.
Govern data in real time – Real-time data governance can be achieved with the assistance of data integration. Then available information can be managed effectively to obtain the best possible results.
Retire and consolidate applications – Outdated systems can be retired and multiple systems can be consolidated with the assistance of data integration. That’s because data integration has the ability to automate business proves evaluation and improve customer experience.
When it comes to data integration, it would be possible to follow several unique approaches. Virtual schema holds a prominent place out of them. To get a better understanding about virtual schemes, imagine that you have a web application, where you can search for different information about cities, products and maybe laptop reviews. Usually, all the information queried through this web app, such weather, crime and social media followers statistics are stored in a single database. This database has a single scheme. However, collecting information from this database would be a difficult process because all details are stored together. When extracting information, there can be a few redundancy issues as well.
Data integration also has the ability to provide a convenient solution to this issue. However, all the external sources should be considered as a virtual mediated schema. Developers of the application will have to work on a virtual schema because it is the best solution available to provide the solution needed to achieve data integration. After creating the virtual schema, they go ahead and design adapters or wrappers of every data source. It includes obtaining data from the crime stats database and the weather information database.
The virtual schema would properly differentiate extracted data so that they can match perfectly well with the data integration solution. In addition, it transforms the single query into appropriate queries as per different data sources. At the end of the day, the virtual database would combine results obtained from different queries into one single query.
This can be considered as the most convenient solution available to add new data sources. That’s because it can easily construct application software or an adapter, which can act as the blade. However, it is important to keep in mind that virtual schema is a broad concept and it is based on many complex theories. For example, you can even find a technique named advanced data virtualization, which is based on object-oriented data modelling.
As you can see, virtual schemas can provide an excellent assistance to data integration. However, it should be done by seeking the assistance of a professional provider. That’s where SharePoint consultants from Itransition can assist you with. This would supply you with the means to offer the best possible way to achieve data integration with the use of virtual schema. As a result, it would be easier to experience all the above-mentioned benefits, which are linked with data integration. It can make data more meaningful, and at the end of the data, it is precisely what Data integration is all about.