Abstract: In one or more embodiments, an analytical search engine is provided. The analytical search engine provides a search-driven data analysis approach that greatly facilitates data searches. The analytical search engine provides a more efficient user experience and, at the same time, simplifies the search process for its users. The analytical search engine employs a robust search model that provides a comprehensive definition and coverage of available data. The search engine provides various functionality such as type-ahead or look-ahead suggestions to help users define precise queries. The search engine also identifies ambiguous or incomplete queries and provides disambiguation suggestions to correct the queries.

Abstract: Improved crawling and curation of data and metadata from diverse data sources is described. In some embodiments, improvements are achieved by interpreting the context, vocabulary and relationships of data element, to enable relational data search capability for users. The user querying process is improved by systematic identification of the data objects, context, and relationships across data objects and elements, aggregation methods and operators on the data objects and data elements as identified in the curation process. User query suggestions and recommendations can be adjusted based on the context, relationships between the data elements, user profile, and the data sources. When the user query is executed, the query text is translated into an equivalent of one or more query statements, such as SQL or PostGre statements, and the query is performed on the identified data sources. Results are assembled to present the answer in a meaningful visualization for the user query.