Architecting for plasticity - Demystifying the data fabric
summary
Cinchy’s data fabric claims to eliminate point‑to‑point integration (integration “burns half of IT budget”) and to effectively double IT capacity by managing data directly in a central fabric instead of virtualizing it. Live demo shows a growing graph of dataset nodes and links; the fabric provides autonomous data + a metadata experience, enforces schema evolution without breaking consumers (renames handled by reference), and enables application augmentation. Early production users include large Canadian banks, YMCA and an ISP.
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chapters (16)
- 0:00Introduction to data fabric
- 1:25Integration bottleneck in IT
- 2:30Data vs intelligence and plasticity
- 3:55What is a data fabric?
- 5:20Live demo of data fabric
- 7:28Collective vs collaborative intelligence
- 9:16Current application architecture
- 13:36Data fabric solves integration
- 15:43Application augmentation concept
- 17:46Autonomous data and metadata
- 21:57Legacy system augmentation
- 26:15New system development
- 27:40Q&A on data collaboration risks
- 29:05Use cases and industry adoption
- 31:10Tooling and visualization connectors
- 32:12Production users and industries
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