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Technology What is Big Data? | Structured Data | Semi-Structured Data
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Structured Data Support

IDOL natively offers an array of search, navigation and analytics tools to process structured data. The advanced user can make SQL queries (FIND, JOIN, ORDER BY, SELECT, etc.) to pinpoint and manipulate search results, but IDOL offers far more sophisticated retrieval capabilities using an accessible, human-friendly query language. IDOL provides the same large number of operators to search structured data as it does to unstructured text - conceptual, keyword, search per field, conditional (i.e. give me results for products > $100K, cost < $15K, company name starting with "B"), wildcard, exact phrase, proximity, fuzzy search, relational and intersected taxonomy-based search, predictive spelling, stemming and synonym expansion, thesaurus query, search clustering, query-by-example, BIAS and many more.

One example of an IDOL operator that is not offered in standard database search is BIAS, which allows the user to easily modify the relevancy calculation by giving more weight to a specified field. Given a movie database with title, director, lead actors, year, genre and short description as the fields, the user can choose to bias the "genre" field or the "director" field to determine the similarity between movies.

Difference from OLAP cubes

IDOL was designed from inception to absorb any data type, be it voice, video or text, and manipulate, compare and relate these objects based on a mathematical abstraction of the meaning within each source. This permits IDOL to augment human decision-making through self-discovery of relevant dimensions within the data sets. Such self-discovery can be constrained and controlled at the atomic level by human operators, but dramatically separates IDOL from the manually-dependent models of traditional OLAP and other legacy data management systems. IDOL can thus normalize and automatically relate items within heterogeneous and previously unorganized data sets, no matter if the ideas expressed reside in tables, emails, telephone calls or videos, based on a mathematical understanding of the concepts within it. Thus, unlike the OLAP model, the storage of the data within IDOL is fully self-organizing and does not require the manual definition of complex schemas.

Parametric Probabilistic Space Analysis (PPSA)

IDOL incorporates advanced pattern recognition technologies for structured data, enabling computers to replicate the human ability to intelligently recognize and understand complex patterns in data. PPSA is a highly sophisticated parametric search capability that relates n-dimensional structured objects to one another conceptually, even where no direct field match exists.

Business Applications

Autonomy fully supports querying and integrating results from structured content residing in business applications. Autonomy provides flexible and open indexing APIs that not only import content, but also preserve and intelligently process all object rules, business intelligence and complex metadata relationships that reside in these applications. By preserving all business logic that the client has built into Line of Business (LOB) applications, it is able to interrelate between multiple databases and create a unified view of all relevant data from disparate systems.

Further Reference: PDF Icon Autonomy XML White Paper

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Technology What is Big Data? | Structured Data | Semi-Structured Data
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