Flow.BI designed a vertical cheat sheet at Scalefree to help beginners master Hubs, Links, and Satellites in Data Vault implementation.

Flow.BI is an AI that integrates enterprise data sets for use in data platforms, enterprise data warehousing, and AI. It is an attractive solution to clients for several reasons: Flow.BI imitates human data modelers while generating the integrated data model, and Michael Olschimke, a leading industry expert in the Big Data field, has developed the model definitions. In this sense, his knowledge has been codified into Flow.BI adds skills to those teams that lack skilled data modelers. Flow.BI also scales to any number of source tables and can define the target model overnight instead of years. The introduction of codified knowledge and the scalability reduce the project risk dramatically: if Flow.BI is not delivering the expected value; projects can still build the model manually. It is also an attractive solution for clients with budget constraints as it beats the manual alternative regularly. To achieve this, the solution identifies the concepts inside the attached datasets and defines the logical data model to capture all source data. This data model can be a choice between semantic knowledge graphs, Data Vault, and integrated models for data products. Flow.BI is based on open APIs and integrates with data warehouse automation (DWA) tools, including Datavault Builder, dbt, and custom solutions. To achieve an end-to-end solution, Flow.BI hands the metadata of the logical model to the DWA tool for a 100 % automated data ingestion layer (e.g., a functional data lake) and the integration layer. Developers can then focus on what's relevant to their business: business logic and information delivery. Those aspects require human development and contribute more to the business value of the overall solution.

Founded 2023