Abstract: In system for analyzing large data sets, document/file format can be discovered by attempting to parse the file using several parsers to generate a schema, assigning a score to each parsing, and selecting a parser based on the assigned scores. Schema element attributes, such as statistical parameters, can be derived and used in identifying schema elements associated with other files. Attributes of identified schema elements can be used to substitute missing data values with values based on such attributes. Data values corresponding schema elements can be selected and highlighted, and schema elements and/or attributes thereof can be highlighted based on selected data values. From a cluster of files, a lineage relationship between file pairs, indicating whether one file is derived from another, can be determined for several files. In reducing/compacting data, utilization of all available reducers can be optimized according to current utilization of one or more reducers.

Abstract: In system for analyzing large data sets, document/file format can be discovered by attempting to parse the file using several parsers to generate a schema, assigning a score to each parsing, and selecting a parser based on the assigned scores. Schema element attributes, such as statistical parameters, can be derived and used in identifying schema elements associated with other files. Attributes of identified schema elements can be used to substitute missing data values with values based on such attributes. Data values corresponding schema elements can be selected and highlighted, and schema elements and/or attributes thereof can be highlighted based on selected data values. From a cluster of files, a lineage relationship between file pairs, indicating whether one file is derived from another, can be determined for several files. In reducing/compacting data, utilization of all available reducers can be optimized according to current utilization of one or more reducers.

Abstract: In system for analyzing large data sets, document/file format can be discovered by attempting to parse the file using several parsers to generate a schema, assigning a score to each parsing, and selecting a parser based on the assigned scores. Schema element attributes, such as statistical parameters, can be derived and used in identifying schema elements associated with other files. Attributes of identified schema elements can be used to substitute missing data values with values based on such attributes. Data values corresponding schema elements can be selected and highlighted, and schema elements and/or attributes thereof can be highlighted based on selected data values. From a cluster of files, a lineage relationship between file pairs, indicating whether one file is derived from another, can be determined for several files. In reducing/compacting data, utilization of all available reducers can be optimized according to current utilization of one or more reducers.

Abstract: A method of generating procedural language code for extracting data from a data warehouse comprising the steps of accepting a declarative specification and generating procedural language code to execute the declarative specification.

Abstract: A method of generating procedural language code for extracting data from a data warehouse comprising the steps of accepting a declarative specification and generating procedural language code to execute the declarative specification.

Abstract: A method of generating procedural language code for extracting data from a data warehouse comprising the steps of accepting a declarative specification and generating procedural language code to execute the declarative specification.