Transformation
Data transformation is the process of converting data from one format, such as a database file, XML document or Excel spreadsheet, into another.
Transformations typically involve converting a raw data source into a cleansed, validated and ready-to-use format. Data transformation is crucial to data management processes that include data integration, data migration, data warehousing and data preparation.
References
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Data transformation is used to improve decision-making by converting data from one format into another for further processing, analysis, or integration.🔗coresignal.com -
https://en.wikipedia.org/wiki/Data_transformation_(computing)🔗en.wikipedia.org -
Learn about what is data transformation as well as everything you need to know in order to start transforming your data for better analysis and insights.🔗funnel.io -
Learn why data transformation is essential to data modeling and bringing your organization to the forefront of data literacy.🔗fivetran.com -
Discover how data transformation makes data usable, manageable, and compliant allowing businesses to gain actionable business intelligence.🔗informatica.com
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Explore data transformation essentials, its role in ETL, challenges, and top tools in 2023. Discover how you can streamline the process.🔗Integrate.io
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Data transformation helps convert data from one format, standard, or structure to another to prepare it for usage. Learn about the top relevant tools and techniques.🔗Spiceworks -
Data transformation is the process of changing the format, structure, or values of data. It's a key step in ETL or ELT data integration.🔗stitchdata.com -
Data transformation, a component of data prep, changes the format, structure or values of data to optimize it for business use. Learn how.🔗Data Management -
