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Data integration Write for Us
Data integration involves the combination of data and occupy in the different sources and provides parts of views to the data users. This process may vary and consists of commercial and scientific data integration will increase the frequency and need to share the data, which has to explode. It is the focus of the extensive work and many problems which will be unsolved.
Data integration forms the collaboration with all the internal and external users. First, the data need to be received from the heterogenous database system and transferred into a single data store with synced data visible across networks for the clients. The common use of data integration is for data mining, so extracting or analyzing the data from the existing database will be useful in business data information.
The specialist of data integration first plans, coordinates, and then performs the activities related to the integration of the system and data that need to be maintained and operated. Then it transforms and provides the data across the different sources that must address the information and assimilate data.
It contains the data replication, ingests, and transforms the data into different types of data into the standard form that needs to be stored in the target like a data warehouse, data Lakehouse, or data lake.
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Search related terms
The terms associated with this topic are below:
- Big data
- Heterogenous database system
- Data mining
- Business Information
- Web application
- Materialized views