![]() ![]() Since over 80% of organizations plan on implementing multi-cloud strategies by 2025, choosing the right approach for your business that allows seamless real-time centralization of all data changes in your ETL pipeline across multiple environments is critical.īy capturing CDC events, Databricks users can re-materialize the source table as Delta Table in Lakehouse and run their analysis on top of it, while being able to combine data with external systems. ![]() CDC provides real-time data evolution by processing data in a continuous incremental fashion as new events occur. Background on Change Data CaptureĬhange Data Capture ( CDC) is a process that identifies and captures incremental changes (data deletes, inserts and updates) in databases, like tracking customer, order or product status for near-real-time data applications. Imported Objects include: Business Metadata, Dataflows, Entities, Sources, Users, Publish Jobs, Relationships and Keys.Note: We recommend following the Getting Started with Delta Live Tables which explains creating scalable and reliable pipelines using Delta Live Tables (DLT) and its declarative ETL definitions. Relationships and Keys: Information about primary and foreign keys shared between related entities can be imported from Excel (XLS) files. Publish Jobs: Datasets including corresponding sources and entities in Publish jobs must be present in both environments. If not present, users are given the option to import underlying objects. Prepare Dataflows: Source Entities must be present in the destination environment for dataflows to be imported. ![]() In that event, users are given the option to rename the object if it makes sense for that object import. Sources and Entities: A namecheck is performed ensuring imported objects do not have a name being used in the directory. Import/export performs several checks based on what is being imported: Metadata, prepare dataflows, object metadata for sources, entities, fields and publish jobs in addition to individual users can be migrated across environments via import/export functionality. A typical use case for import/export is promotion of dataflows created in a development environment to a production environment. Import/Export Metadata is a mechanism for promoting objects between environments. ![]()
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