https://github.com/databricks/workflows-examples
https://github.com/databricks/workflows-examples
Last synced: 13 days ago
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- Host: GitHub
- URL: https://github.com/databricks/workflows-examples
- Owner: databricks
- License: apache-2.0
- Created: 2022-07-11T09:07:45.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-10-07T13:48:22.000Z (over 3 years ago)
- Last Synced: 2026-01-25T20:45:11.722Z (18 days ago)
- Size: 23.4 KB
- Stars: 15
- Watchers: 6
- Forks: 14
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Databricks Workflows Examples
A collection of examples and demos showcasing features and best practises for [Databricks Workflows](https://databricks.com/product/workflows)
## Examples
- [Marketing Analytics Solution using Fivetran ingestion & dbt task type](/marketing_analytics_demo)
## What is Databricks Workflows?
The fully managed lakehouse orchestration service for all your teams to build reliable data, analytics and AI workflows on any cloud.
Orchestrate any combination of notebooks, SQL, Spark, ML models and dbt as a [Jobs workflow](https://docs.databricks.com/data-engineering/jobs/index.html), including calls to other systems. Build ETL pipelines that are automatically managed, including ingestion and lineage, using [Delta Live Tables](https://databricks.com/product/delta-live-tables). Databricks Workflows is available on GCP, AWS and Azure, giving you full flexibility and cloud independence.