Hello @kazinahian , Azure Databricks offers several options for building ETL (Extract, Transform, Load) data pipelines, ranging from low-code to more code-centric approaches:
Delta Live Tables
Delta Live Tables (DLT) is a declarative framework for building reliable, maintainable, and scalable data pipelines on Azure Databrick. It offers:
- A simplified ETL development process
- Automated operational complexity management
- Built-in data quality and error handling
DLT allows data engineers to focus on delivering high-quality data rather than managing pipeline infrastructure.
Databricks Workflows
For orchestrating ETL pipelines, Databricks Workflows provides:
- Easy definition, management, and monitoring of multi-task workflows
- Support for various task types
- Deep observability capabilities
- High reliability
This tool empowers data teams to automate and orchestrate any pipeline efficiently
There are other low-code options that are available to integrate with Databricks, like Azure Data Factory or other third-party ETL tools that can help you to easily create ETL pipelines with Databricks