Welcome to the Etleap Docs!

Etleap is an ETL tool that can be used to quickly build cloud data warehouses and lakes, and manage powerful data pipelines with minimal engineering effort.

Quickstarts

To get started with Etleap, check out the following quickstarts:

1. Connect to a data source (e.g., application, database, event, or file store).
2. Connect to a data destination (e.g., Amazon Redshift or Snowflake data warehouse, or Amazon S3 data lake).
3. Create a pipeline to ingest and transform data from source to destination using Etleap’s interactive Data Wrangler.
4. Create a dbt Schedule to keep your models up to date as new data is ingested to your warehouse.
5. Send API requests to programmatically create and manage your connections, pipelines and models.

Further Reading

In Etleap there are four types of entities that you create and manage through the web UI or API: connections, pipelines, models, and dbt schedules.

Connections

Connections let Etleap communicate with your data sources and destinations. See the Sources and Destinations sections in the navigation on the left for more details about each type of connection.

Pipelines

Pipelines extract data from a source, transform the data according to the Wrangler script, and load to a warehouse or lake destination. Once you have created a pipeline, it’s helpful to understand the state of the pipeline and how a typical pipeline works.

dbt Schedules

Etleap dbt Schedules represent end-to-end data pipelines that include both data ingestion and data modeling. dbt Schedule Introduction provides more insights about how you can utilize dbt Schedules.

API Management

Etleap’s API can be used to create and manage all Etleap entities. Visit our Getting Started guide for more information.