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This resource by Jorge Ortiz explores the management and querying of physical streaming data using a distributed file system approach. It discusses the organization of metadata, illustrating a hierarchical structure that represents application metadata. The paper presents models operating on streams with contextual information, such as inventory data, and discusses the importance of timestamped entries. Additionally, it outlines how systems can effectively interpret streams of data in a meaningful context, leveraging technologies like Java and JavaScript.
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StreamFS: Managing and Querying Physical Streaming DataJorge Ortiz Interpolate F1(x) • Distributed FS Organization for metadata management • Hierarchy represents app metadata • Streams interpreted in context • Models run on streams { “desc”:”inventory inside SDH” “timestamp”: … } /inventory {“desc”:”Acme” “timestamp”: …} {“desc”:”Phone” “timestamp”: …} {“desc”:”Outlet” “timestamp”: …} Java/Javascript