Data transformations: what’s the T in ELT?

Data transformation is an integral part of the ELT (Extract-Load-Transform) process, which involves cleansing, modeling and manipulating raw data to prepare it for analysis. This step is crucial as raw data is not prepared for reporting or generating insights. Transformations might include removing duplicate rows or entries, joining disparate tables to generate KPIs, normalizing data, creating calculations or business logic classifications, among others. Automating the transformation process and orchestrating it in harmony with data load can help reduce tech stack complexity, data latency, and computational costs. Fivetran Transformations for dbt Core is a solution that automates the transformation process and manages it within one platform, providing increased visibility and governance.