It is a stepwise and strategic approach that combines data from a wide range of sources to extract more meaningful information. It follows both business and technical steps with a focused approach to gain productive knowledge as an end result. The authenticity and integrity of data are also checked to make sure it comes from a trusted source. The concept plays a vital role in data management and business intelligence. It can be of different types such as data consolidation, data propagation, data virtualization, data federation, and data warehousing.
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This is a must-have set for every individual who wants to draft an impressive presentation on this topic. It has covered the basic definition of DI, its classification, the stepwise approach to follow, goals, the overall model, and so on. You can also elucidate advanced topics like the integration process, architectural diagram, data migration vs data integration, the common challenges, how to overcome the challenges, pros, cons, and every other related topic.
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