DataChannel X dbt™: Access transformed data across business applications to build end-to-end ELT & Reverse ETL workflows in a few clicks.

In the final blog on dbt, we'll look at the various use cases of data transformation using dbt and how it can be used to overcome organizational bottlenecks.

In the second part of our series we discuss how dbt enables modular data modeling, dbt products, and the differentiating features of dbt.

In the first part of our three part series on data transformation with dbt, we give a brief overview of dbt, the recent shift from ETL to ELT, and lastly we talk about data transformation & its importance.

To make the best out of each data source, every SaaS marketer needs data transformation and with right solution, data extraction & analysis is easier.

Data transformations typically involve converting a raw data source into a cleansed, validated and ready-to-use format.