13. A method for normalizing and processing database data, comprising: ingesting database data structured in at least two disparate predefined database formats used by at least two different database management systems (DBMS), wherein the structured data are elements of at least one relational database, the elements representing values of well-defined entities; performing a set of automated text analytics processes on the ingested database data to generate normalized data described by a consistent and structured metadata, wherein each of the text analytics processes treat the ingested database data as unstructured data, and wherein the set of text analytics processes apply a shared set of metadata tags to describe the normalized data; processing the normalized data, wherein the processing includes translating and expanding the normalized data into a consistent structure which is ready for mining and OLAP (online analytical processing) applications; and generating mining and OLAP results using the normalized data.
14. The method of claim 13 , wherein the set of text analytics processes includes processes for sanitizing, normalizing and disambiguating the ingested data, wherein the sanitizing includes addressing identifying and eliminating misspellings, ranges, redundancies, and other errors, the normalizing includes converting data to a consistent format, and the disambiguating includes eliminating redundancies, anomalies, and polysemi.