Adoption of document databases is growing rapidly in response to the need for solutions that can handle large volumes of data. These solutions are adept at handling non-relational data models, but the distinction between database types (document, relational, key-value, etc.) is blurring. Organizations are making broad sweeps of data from multiple sources and storing it in single large documents for later analysis.
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Jamey Hanson: Building JSON Documents from Relational Tables
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