Harmonization
Data Harmonization is the process of combining data from multiple sources and ensuring that it is consistent and compatible. Harmonization aims to create a unified view of data, regardless of its source, format, or structure. This process involves identifying similarities and differences between datasets and reconciling inconsistencies to avoid duplication and reduce redundancy. Data Harmonization is a crucial step in data integration, which allows organizations to make data-driven decisions and gain insights from their data.
References
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Harmonization of data means having a single source of data, but just why is that so important? Read on to learn about the benefits of data harmonization.🔗blog.syniti.com -
Data harmonization merges data from different sources into a unified view that can be utilized in multiple ways, by multiple people.🔗Rivery -
My industry’s favorite new buzzword—harmonized! — can describe many diverse, aspirational attributes of data systems. What does this new wonder-term mean, and to whom?🔗Medium -
Data Harmonization is the process of combining and organizing various data sources to create a unified view of all the data for analysis, making it easier for businesses to process and analyze data.🔗dremio.com
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The definition of data harmonization can be found in our guide to data integration technology nomenclature. Discover today & find solutions for tomorrow.🔗informatica.com
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The definition of data harmonization can be found in our guide to data integration technology nomenclature. Discover today & find solutions for tomorrow.🔗informatica.com
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Data harmonization is similar to data integration, in that it involves bringing disparate data sources together into a single location. | Glossary🔗Integrate.io -