The data integration experience is most likely required for systems architects, database professionals, and IT consultants.
Data Integration is the process of accumulating and combining data set from disparate sources at various locations. This data can then be used for business intelligence, CRM, data mining, or other applications that involve the analysis of data in order to make key decisions.
Data integration incorporates a series of processes – the sequence of applications that extract data from various sources, bring them to a data staging area, and then programmatically prepare the data for migration into to data warehouse and the actual loading of the data into the data warehouse and data marts.
Data integration usually involves operations such as data conversion, cleansing, formatting and aggregation. After the data is extracted a number of transformations may be applied in preparation for data consolidation and subsequently loaded into data warehouses, data marts or dimensional data structures used for decision support systems or business intelligence systems.
Key benefits of data integration:
- Availability of data
- Enhanced data quality
- Better manageability
- Improved decision making
- Higher return on investment (ROI)
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