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14 docs tagged with "ETL"

ETL integrations.

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Dagster & Airbyte

Using this integration, you can trigger Airbyte syncs and orchestrate your Airbyte connections from within Dagster, making it easy to chain an Airbyte sync with upstream or downstream steps in your workflow.

Dagster & Airbyte

Orchestrate Airbyte connections and schedule syncs alongside upstream or downstream dependencies.

Dagster & Census

With the Census integration you can execute a Census sync and poll until that sync completes, raising an error if it's unsuccessful.

Dagster & dbt

Dagster orchestrates dbt alongside other technologies, so you can schedule dbt with Spark, Python, etc. in a single data pipeline.

Dagster & dbt Cloud

Dagster allows you to run dbt Cloud jobs alongside other technologies. You can schedule them to run as a step in a larger pipeline and manage them as a data asset.

Dagster & dlt

The dltHub open-source library defines a standardized approach for creating data pipelines that load often messy data sources into well-structured data sets.

Dagster & Embedded ELT

The Embedded ELT package provides a framework for building ELT pipelines with Dagster through helpful asset decorators and resources. It includes the dagster-dlt and dagster-sling packages, which you can also use on their own.

Dagster & Hightouch

With this integration you can trigger Hightouch syncs and monitor them from within Dagster. Fine-tune when Hightouch syncs kick-off, visualize their dependencies, and monitor the steps in your data activation workflow.

Dagster & Meltano

The Meltano library allows you to run Meltano using Dagster. Design and configure ingestion jobs using the popular Singer specification.

Dagster & MSSQL Bulk Copy Tool

The community-supported MSSQL BCP package is a custom Dagster I/O manager for loading data into SQL Server using the BCP utility.

Dagster & Ray

The community-supported Ray package allows orchestrating distributed Ray compute from Dagster pipelines.

Dagster & Sling

Sling provides an easy-to-use YAML configuration layer for loading data from files, replicating data between databases, exporting custom SQL queries to cloud storage, and much more.