The white paper addresses the challenges observed in the industry when dealing with large data volumes, and suggests solutions to the challenges that may be faced by the integrated unified data architecture based on the combined offering.
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While the traditional approach of searching directly in the database works well for small repositories, it has performance limitations with growing repository size. Storing repository information in an index would make searching for keywords or phrases in content very fast. In order to provide this functionality, a separate entimICE server component - the indexing server - was created.
The indexing server is based on cutting-edge search technologies that are integrated in the solution (e.g. Lucene, TIKA, Akka) and is fully integrated with the entimICE access rights mechnisms. A speciality of the entimICE indexing server is that the information which is to be indexed represents various content types supported by the entimICE application – documents (e.g. PDF, Word), SAS datasets, data warehouse tables, CSV files and even files which reside outside of the entimICE repository on remote servers. The index also includes all metadata from the entimICE metadata repository and thus allows combining content and metadata searches. Search queries can be written in the Lucene native query language or based on a domain specific search language (DSL). entimICE allows creating custom search grammars and thus making creation of search queries very convenient.
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