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In dbt (data build tool), exposure is a configuration that documents how external tools or resources use your data models. Think of it as a bridge between your dbt project…

Data Build Tool (dbt) is an effective analytics engineering tool that enables data teams to restructure raw data in their warehouse into well-organized, analysis-ready datasets. Tags are one of the…

dbt (data build tool) is an open-source command-line tool that enables data analysts and engineers to transform data in their warehouse more effectively using SQL and software engineering best practices.…

When nearly half of data leaders report their pipelines fail 11 to 25 times due to data quality issues (Acceldata, 2023), it is evident that poor visibility is a business…

“You can’t manage what you can’t see.” In today’s cloud-first analytics landscape, data teams are managing thousands of interrelated models, yet often operate without a clear view of how these…

Making wise business decisions and executing successful initiatives requires strong data accuracy and dependability. When decision-makers have access to accurate and trustworthy data, they can confidently move forward with well-informed…

If you are a SQL developer, there might have been times when you’ve dealt with huge SQL scripts, hundreds of lines full of nested subqueries, and wondered, “What is going…

Within data engineering and analytics, understanding data flow and transformation is absolutely vital. A directed acyclic graph (DAG) illustrates how data moves through various transformations without forming cycles, providing both…

If you're getting started with dbt Core, you're probably dealing with messy, scattered data that’s too raw to be useful right away. That’s where dbt (data build tool) steps in,…

Note: This post assumes you’re already familiar with what dbt (data build tool) does at a high level. Key Takeaways dbt Cloud is a managed SaaS platform provided by dbt…