Commonality with Search Applications
"Content ETL", the preparation of unstructured content for big data applications, is a known science to search engine implementation professionals.
- Sophisticated search applications rely on consistent, accurate metadata to drive features such as search navigators, results sorting by property and relevancy tuning.
- The techniques for capturing and generating metadata for search systems are directly applicable to Content ETL for unstructured data analysis
- Search Technologies has unrivaled experience of implementing content processing for sophisticated search applications. This includes metadata capture, cleansing, enrichment and normalization
For some companies, it makes sense to treat Content ETL as an application independent function able to serve a range of search systems and analysis requirements.
Search Technologies' Aspire content processing framework is a purpose-made platform for Content ETL.
See also our white paper describing the overall approach to maintaining an Independent Data Access Layer.