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Collections of Documents on the other hand, offer a much more relaxed approach. Collections are just namespaces where we insert documents. Documents are objects of any schema and format; but in practice, it almost always is JSON. There are no enforced types, no constraints, no guarded references between documents in different collections. In the same collection, we might have documents of completely different schema - flexibility and openness to any data and column types rules here. In tables, rows have columns of simple, scalar types (mostly) - numbers, ids, strings, dates, timestamps and so on. In collections, documents have fields comprising both simple and composite types like arrays and other documents, nested inside. Same field in different documents, but still of the same collection, might have different types as well - almost anything is allowed here.
"Instead of dismantling everything, we can actually reuse the facilities, the skills, the competencies we have."
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For instance, lighting systems are learning the best times to adjust light patterns based on mood cues (e.g., music, voice commands), resident activity, and the time of day. HVAC systems are balancing comfort with sustainability by tweaking temperatures around homeowner behavior and weather forecasts. Likewise, smart home security systems leverage AI to send more effective alerts.，详情可参考WPS下载最新地址
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