Exact(3)
In this research, we define denormalized schema to have a document for each hour, which contains minutes as sub documents containing sensor data in an array of seconds' sub-documents.
A document can be a simple or complex value, a set of attribute-value pairs, which can comprise simple values, lists, and even nested sub documents.
It is an IoT database which instead of tables (as in RDBMS) provides one or more collection(s) as main storage components consisted upon similar or different JSON or BSON based documents or sub documents.
Similar(57)
Document stores provide schema flexibility by allowing arbitrarily complex documents, i.e. sub-documents within document or sub-documents; and documents as lists.
This model contains sub-documents as values, which are embedded in the main document.
The starting points are uppermost documents and some derived (intensional) documents that can be deduced from the ground sub-documents.
Fig. 3 Collections, documents and sub-documents in document oriented databases can refer to one or more schema models.
Unlike key-value stores, the document databases support secondary indexes on sub-documents to allow fast searching.
The document processing finally leads to ground documents, ground sub-documents, and assembled documents through several phases of to-be-finalized documents.
Both structures the documents and processes contain hierarchy and grouping sub-structures that can be mapped mutually, i.e., the structures of sub-documents onto scenarios, scenes, and processes. .
It is a very fast database and provides indexes not only on the primary attributes rather also on the secondary attributes within the sub-documents even.
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