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Data Integration: Approaches, Techniques, Tools, and Best Practices for Implementation

AltexSoft

So, why does anyone need to integrate data in the first place? Today, companies want their business decisions to be driven by data. But here’s the thing — information required for business intelligence (BI) and analytics processes often lives in a breadth of databases and applications. Data consolidation.

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What is Data Integration?

Grouparoo

The implementation of data integration can employ various techniques, including: Data replication techniques manage the transfer of data between storage repositories to maintain synchronization. The use of this method applies to situations where no transformation of the data is necessary.

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Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

To understand the working of a data pipeline, one can consider a pipe that receives input from a source that is carried to give output at the destination. And based on the business use cases, what happens inside the pipeline is decided. A pipeline may include filtering, normalizing, and data consolidation to provide desired data.