Getting started with Data Transformation
You undertake Data Transformation in most cases to extract data from one source and convert it to a useable format is another destination.
The process is known as ETL (Extract Transform Load) or ELT (Extract Load Transform). With the ETL process data is extracted from its source and then transformed before being loaded to the new location. In ELT models the data is not transformed on entry to the data lake but stored in its original raw format then transformed later.
How we transform data quickly
Utilising Microsofts Azure Data Factory we provide your business with access to a service specifically built for data integration. Whatever your requirement and skill level, with our help you’ll be able to construct ETL and ELT processes code-free within an intuitive visual environment or write your own code if you prefer.
We can visually integrate data sources using more than 90+ natively built and maintenance-free connectors. This allows us to focus on your data, while the serverless integration service does the rest.