Data Integration and Inter-operability: ETL, ELT#
Data integration is the process of combining data from different sources into a single, coherent view. This can be done for a variety of purposes, such as to support data analysis, to create a comprehensive view of an organization’s data assets, or to facilitate data-driven decision making. Data integration involves a variety of activities, such as extracting data from different sources, cleaning and transforming the data, and loading the data into a target system.
Interoperability refers to the ability of different systems, devices, or software applications to work together and exchange information. In the context of data integration, interoperability refers to the ability of different systems to exchange data and to use the data in a meaningful way. This is often achieved through the use of common data standards and protocols, which allow different systems to communicate with each other and exchange data. Data integration and interoperability are important concepts in many fields, such as healthcare, finance, and government, where the ability to share and use data is critical.