Abstract: In an example embodiment, a solution is provided that allows for intelligent demand-driven data replication. Only the data that is needed has to be replicated, and this data can be kept only as long as needed. This allows cloud-based applications to be built that integrate deeper with the existing customer landscape with the most efficient data footprint. It allows data types that could not be used before to be integrated into an application. There are additional savings due to the reduced data footprint in the database, compared to a full data replication, without giving up resilience or response time.

Abstract: In an example embodiment, a solution is provided that allows for intelligent demand-driven data replication. Only the data that is needed has to be replicated, and this data can be kept only as long as needed. This allows cloud-based applications to be built that integrate deeper with the existing customer landscape with the most efficient data footprint. It allows data types that could not be used before to be integrated into an application. There are additional savings due to the reduced data footprint in the database, compared to a full data replication, without giving up resilience or response time.

Abstract: A method of implementing verification of a complex workflow includes partitioning the workflow into modules, wherein the modules have inputs, processing steps and outputs; selecting, from the workflow, one of the partitioned modules for independent verification by challenge thereof; running, with a computing device, a challenge of the selected module, the challenge comprising comparing reference outputs to outputs of the selected module, wherein reference inputs are received by the selected module and the reference outputs are generated using the reference inputs and one of an ideal performing module or a well-established module; determining whether outputs of the selected module meet verification criteria with respect to the reference outputs, and based on the determining, implementing one of: declaring the selected module verified; subdividing the selected module into smaller modules and repeating the challenge on the smaller modules; or declaring the selected module not verified.

Abstract: A method of implementing verification of a complex workflow includes partitioning the workflow into modules, wherein the modules have inputs, processing steps and outputs; selecting, from the workflow, one of the partitioned modules for independent verification by challenge thereof; running, with a computing device, a challenge of the selected module, the challenge comprising comparing reference outputs to outputs of the selected module, wherein reference inputs are received by the selected module and the reference outputs are generated using the reference inputs and one of an ideal performing module or a well-established module; determining whether outputs of the selected module meet verification criteria with respect to the reference outputs, and based on the determining, implementing one of: declaring the selected module verified; subdividing the selected module into smaller modules and repeating the challenge on the smaller modules; or declaring the selected module not verified.