{"library":"dbt-glue","type":"library","category":null,"description":"dbt-glue is a dbt adapter that enables data analysts and engineers to transform data using AWS Glue's Spark engine and interactive sessions. It supports various file formats, including Apache Iceberg, Delta Lake, and Apache Hudi, allowing users to build and manage data pipelines in an AWS data lake environment. The library is actively maintained with frequent updates, aligning with `dbt-core` releases. It is currently at version 1.10.19 and requires Python >=3.9.","language":"python","status":"active","version":"1.10.19","tags":["dbt","AWS Glue","data transformation","ETL","data lake","Spark","Iceberg","Delta Lake","Hudi"],"last_verified":"Sun May 24","install":[{"cmd":"pip install dbt-core dbt-glue","imports":["def model(dbt, spark):\n    dbt.config(materialized='python_model', file_format='iceberg')","source_df = dbt.ref(\"my_sql_model\")","raw_data = dbt.source('my_source', 'my_table')"]}],"homepage":null,"github":"https://github.com/aws-samples/dbt-glue","docs":null,"changelog":null,"pypi":"https://pypi.org/project/dbt-glue/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":14.5,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/dbt-glue/compatibility"}}