Transformation Pitfalls and Best Practices

The article discusses the pitfalls and best practices for maximizing the impact of data transformations. It advises against using ETL workflows, developing in a black box, relying on GUIs, and utilizing BI tools for transformation. Instead, it recommends using ELT workflows, promoting collaboration through tools like dbt Core and dbt Cloud, leveraging SQL for its flexibility and accessibility, and preparing data with specific transformation tools before visualizing it in a BI tool. Additionally, the article suggests accelerating analytics by adopting prebuilt SQL solutions, improving documentation across the organization to enhance data literacy, and joining communities of experts for additional support and best practices sharing.