3 дня назад · Learn about the various ways (strategies) to implement incremental materializations.

3 дек. 2021 г. · Update the get_quoted_csv macro to use the quoted attribute of each column (instead of name ). Then, update the quoted attribute to handle this ...

3 дня назад · Using an incremental model limits the amount of data that needs to be transformed, vastly reducing the runtime of your transformations.

Contribute to dbt-labs/dbt-adapters development by creating an account on GitHub ... get_quoted_csv(dest_columns | map(attribute="name")) -%} insert into ...

1 авг. 2024 г. · Then, we pass that into the predefined get_quoted_csv() macro to get a comma-separated list of quoted column names, which we can use to build ...

24 окт. 2022 г. · I'm new to dbt and jinja but trying my best. We have a scenario where when using incremental merge our destination table schema is different ...

dbt deferral is great way to reduce both costs and run time, which you will want to consider when leveraging dbt for data transformation.

20 февр. 2022 г. · Let's say you want to append the result of your model to a table without any update or deletion, just insert the data even though there might be duplicate data.

17 окт. 2024 г. · This document provides a detailed guide on using dbt for moving data from the Silver to Gold layers in a Medallion Architecture on PostgreSQL.

10 апр. 2019 г. · The easiest use case to create an incremental model is when your underlying data comes in as an immutable event stream and your transformation on top of it ...