Data Curation Accelerator
FUSE is a framework that allows large enterprises to design, build and deploy large-scale data integration workflows inside of Big Data environments.
Our FUSE Workflow
So, what is the FUSE design and development methodology?
Users define their desired target data model (any model, commercial or homegrown)
Point to your source data (i.e. from source, Data Lake, or Data Warehouse)
Design the mappings between source data to target model
Develop your data pipeline (ensuring no ETL)
Sample Use Case
Establishing an Enterprise Zone with a Data Lake
Often times, the difficulty is not just getting the data in, rather, making it usable, trusted, and prepared to serve various use cases for the company. Preparing a single source of truth sounds nice in theory, but in practice, it’s been a major challenge to implement in first-generation EDLs.
Establishing an Enterprise Zone (EZ), often considered a way to solve this problem, comes with a myriad of challenges – technology, people and governance-related. Who owns the EZ? What governance rules need to be applied? Should there be a standard domain model to use across the enterprise? Questions arise faster than solutions to solve them.
However, Fuse alleviates many of these challenges, technology and governance related, by automating various tasks in the workflow: data transformation development, metadata capture, governance policies.
FUSE supports business-capability driven design, meaning, business not only has a seat at the table; they are setting it.
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