Abstract: Updating a staged dataset from a delta-based data repository is provided, including receiving an instruction to update the staged dataset based on a checkpoint and requesting a versioned subset of data from the repository based on the checkpoint and the received instruction. The versioned subset of the data includes a data differential between a staged version of the data stored in the repository and a checkpoint-based version of the data stored in the repository. The versioned subset of the data is received from the repository. The versioned subset of the data is incompatibly formatted for ingestion by a data analytics engine. The received versioned subset of the data is transformed into a staged subset of the data. The staged subset of the data is formatted for ingestion by a data analytics engine and stored in association with another staged subset of the data for ingestion by the data analytics engine.

Abstract: A data model metadata editor is described that may be integrated within a customer data platform. The editor enables a user to create and/or edit data model metadata by implementing a graphical user interface (GUI) that prompts the user to provide input and make selections in a manner that accords with rules concerning what information such metadata must include and how the contents of such metadata should be organized and formatted. Furthermore, the editor may perform syntax checking, validate such input and selections against the aforementioned rules, and flag any detected errors and/or potential problems to the user. Still further, the editor may apply the data model metadata (e.g., data schemas) to actual customer data and present the results to the user within the editor GUI so that the user can visually confirm that changes made to the data model metadata accord with the customer data.