Data integration focuses on assembling all the relevant data such that the data is available on a single platform for all the necessary stakeholders, preferably in real-time.
Data integration involves a combination of information from totally different sources, that is stored using varied technologies and supply a unified read of the information. Data integration becomes progressively necessary in cases of merging systems of 2 corporations or consolidating applications at intervals one company to supply a unified read of the company's knowledge assets.
ETL refers to the data integration approach where data is extracted from source systems, then going through a transformation process and ends up by loading in the target system. ETL scenario is typical for data warehouse systems
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