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Building the Unstructured Data Warehouse: Architecture, Analysis, and Design by Krish Krishnan, W. H. Inmon

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Before we look at the unstructured database and how to architect it, let us take a quick look at normal data warehouse processing. To build a classical data warehouse, we normally process structured data through an ETL process, store the result set as tables and columns, classifying the relationships between the different elements with a relational model and a system of keys. This is a very straightforward process and can be simplified into manageable components. Traditional ETL tools, and more recently, CDC and ELT technologies, have made near real time capture of structured data and its subsequent processing into the data warehouse more achievable.

Structured data processing is governed by the following principles: ...

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