Data Transformation

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What is Data Transformation?

Data is the foundation of every industry. When raw data is transformed from different sources, then data converts into the form where it can be utilized. When processing data for analytics, the transformation process is critical.

Businesses that employ on-premise data warehouses use the ETL approach (extract, transform, load). In this process, data transformation occurs in the middle. Businesses that use cloud data warehouses, on the other hand, use the ELT method.

Data transformation is required for making sense of and utilizing data from several sources.

What are the business benefits of Data Transformation?

  • Data Transformation makes the data easier to process and makes it more useful for drawing business insights.

  • Data Transformation helps in improving data quality and eliminates risks associated with using bad data.

  • Data Transformation empowers business decision-making and makes enterprises more agile and competitive.

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