Datapankeilles
Datapankeilles is a concept in data management describing a distributed data processing and storage architecture designed to manage large-scale, heterogeneous datasets. The term combines data with a coined suffix suggesting a stable repository or pipeline system. It is not a widely adopted standard, but appears in speculative and academic discussions about scalable data infrastructures.
Design and components: It describes a modular stack including data ingesters, attribution and lineage modules, a
Operation: Data flows from edge sources into ingress, undergoes schema negotiation, enters a versioned data lake
Origins and usage: The concept originated in theoretical discussions about data mesh and data fabric, highlighting
Advantages: Emphasizes scalability, data lineage, and governance; supports multi-cloud deployments; enables reproducible analyses.
Limitations: Complexity of implementation, potential performance overhead, and need for mature metadata management.