DLT META is a metadata-driven Databricks Delta Live Tables (aka DLT) framework which lets you automate your bronze and silver pipelines.
With this framework you need to record the source and target metadata in an onboarding json file which acts as the Dataflowspec. A single generice dlt pipeline takes the Dataflowspec and runs your workloads.
OnboardDataflowspec.onboard_dataflow_specs()which coverts onboarding json file into DataflowSpecs delta table for bronze and silver layer. Dataflowspecs are used by DataflowPipeline which launches DLT for respective bronze and silver layer.
DLT-META does not have any direct cost associated with it other than the cost to run the Databricks Delta Live Tables on your environment.The overall cost will be determined primarily by the [Databricks Delta Live Tables Pricing] (https://databricks.com/product/delta-live-tables-pricing-azure)
Refer to the FAQ
Refer to the Getting Started guide
Please note that all projects in the databrickslabs github account are provided for your exploration only, and are not formally supported by Databricks with Service Level Agreements (SLAs). They are provided AS-IS and we do not make any guarantees of any kind. Please do not submit a support ticket relating to any issues arising from the use of these projects.
Any issues discovered through the use of this project should be filed as GitHub Issues on the Repo. They will be reviewed as time permits, but there are no formal SLAs for support.
See our CONTRIBUTING for more details.