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

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Selecting Technology

Processing data from a data warehouse perspective has always been a challenge, due to the volume of data (both input and in the data warehouse), the type of data, performance issues with disks and servers, and metadata issues. These challenges will be very relevant to unstructured data processing in the data warehouse environment, but there are some key changes in the way these challenges manifest themselves. This chapter will be focusing on the challenges and some technology choices that are suitable to unstructured data processing.

Unstructured data cannot be processed by regular Extract, Transform, Load (ETL) / Extract, Load, Transform (ELT) / Changed Data Capture (CDC) tools, therefore we need to use a textual ETL tool. ...

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