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Ive done this before using a structured comment added to each SQL statement, like this: /*entity customer://1234 */ SELECT name FROM customer WHERE id = 1234 At the expense of some additional parsing overhead in your data-access layer, you get additional metadata associated with every query in your application.
Does everyone understand the metrics in the same way? Remember that there should be no calculated metrics on dashboards—you shouldn’t be blending or manipulating data. It’s good practice to do a little homework before building your dashboard: Define the essential metrics that will answer your questions. Aggregates.
Rovi : Need Metadata for music/movie/actors, etc.? Startup Metrics for Pirates â?? SaaS Metrics Tutorial â?? aggregation. No need to worry about security and such. Leaflet : Need Maps? Try Leaflet. Most devs go with google maps, but I personally like leaflet and I feel like itâ??s s easier to use/develop with.
To know if curation is working, one needs performance metrics. Metrics allow for pattern recognition and machine learning, which allow for automation. You can’t curate until you aggregate. Data, metadata, etc. The sheer scale of the web’s content and user base makes manual curation difficult. reveal patterns.
Finally, Manageable Metadata: Conviction believes that AI can revolutionise data cataloging and metadata collection, a traditionally manual and painful process. Startups can develop AI agents that analyse logs and metrics to identify root causes, suggest fixes, and generate post-mortems. AI Augmenting Human Capabilities: ?
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