Connect dbt and Big Query

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dbt and Big Query

What are the benefits of connecting dbt and Big Query

Connecting Big Query to dbt allows users to leverage both technologies to gain more insight into data architecture and structure. Big Query stores data in a cloud-based warehouse, while dbt performs data transformations and creates analytics-ready datasets. Ultimately, these tools help users move beyond basic analysis and create more in-depth insights into their data.

How to connect dbt and Big Query

By using dbt, it is possible to connect Big Query and refine the data stored in Big Query. dbt allows us to transform, aggregate and filter data stored in Big Query to make it usable and easier to understand. Additionally, dbt can generate documentation, verify that data is accurate, and allows us build products that can be deployed to our Big Query databases in a secure manner.

What are the benefits of connecting dbt and Big Query in a data catalog

Connecting DBT and Big Query to Secoda helps data teams to access their data faster, and create better data pipelines. It also allows teams to track their data from source to destination, and to understand the transformations that have been applied to the data. This helps teams to be more confident in their data and to make better decisions.

Manage your modern data stack with Secoda

We’ve built Secoda as a single place for all incoming data and metadata, a single source of truth. Collecting and analyzing essential to ensuring your company is making the right decisions and moving in the right direction. Secoda gives every employee a single plane they can go to in order to find, understand and use company data.

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