Abstract: A method for receiving a declarative specification including a plurality of stages. Each stage specifies an atomic operation, a data input to the atomic operation, and a data output from the atomic operation. The data input is characterized by a data type. Links between at least two of the stages are generated to create a data integration workflow. The data integration workflow is compiled to generate computer code for execution on a parallel processing platform. The computer code configured to perform at least one of data preparation and data analysis.

Abstract: A method for receiving a declarative specification including a plurality of stages. Each stage specifies an atomic operation, a data input to the atomic operation, and a data output from the atomic operation. The data input is characterized by a data type. Links between at least two of the stages are generated to create a data integration workflow. The data integration workflow is compiled to generate computer code for execution on a parallel processing platform. The computer code configured to perform at least one of data preparation and data analysis.

Abstract: Methods and arrangements for processing hierarchical data in a map-reduce framework. Hierarchical data is accepted, and a map-reduce job is performed on the hierarchical data. This performing of a map-reduce job includes determining a cost of partitioning the data, determining a cost of redefining the job and thereupon selectively performing at least one step taken from the group consisting of: partitioning the data and redefining the job.

Abstract: Methods and arrangements for processing hierarchical data in a map-reduce framework. Hierarchical data is accepted, and a map-reduce job is performed on the hierarchical data. This performing of a map-reduce job includes determining a cost of partitioning the data, determining a cost of redefining the job and thereupon selectively performing at least one step taken from the group consisting of: partitioning the data and redefining the job.

Abstract: Several methods and a system for analyzing ordered data using pattern matching over an indefinitely long ordered sequence of rows in a relational database are disclosed. In one embodiment, a method of a server includes receiving an ordered data in a relational database. The method further includes matching a pattern specified in a query on ordered data in a relational database in a single pass in constant space for overlapping mode of results. The method also includes creating an output data in the single pass in constant space for overlapping mode of results based on the matching of the ordered data with the pattern in the relational database query.

Abstract: A method of associating a given text document with relevant structured data is disclosed. The method receives as inputs a text document, and structured data in the form of a relational database. The method then identifies terms in the text document, and searches and queries the structured data using the terms to identify fragments of the structured data that are relevant to the document. Finally, the text document and the identified fragments of structured data are output to a user.

Abstract: A method of associating a given text document with relevant structured data is disclosed. The method receives as inputs a text document, and structured data in the form of a relational database. The method then identifies terms in the text document, and searches and queries the structured data using the terms to identify fragments of the structured data that are relevant to the document. Finally, the text document and the identified fragments of structured data are output to a user.

Abstract: A method of associating a given text document with relevant structured data is disclosed. The method receives as inputs a text document, and structured data in the form of a relational database. The method then identifies terms in the text document, and searches and queries the structured data using the terms to identify fragments of the structured data that are relevant to the document. Finally, the text document and the identified fragments of structured data are output to a user.

Abstract: Several methods and a system for analyzing ordered data using pattern matching over an indefinitely long ordered sequence of rows in a relational database are disclosed. In one embodiment, a method of a server includes receiving an ordered data in a relational database. The method further includes matching a pattern specified in a query on ordered data in a relational database in a single pass in constant space for overlapping mode of results. The method also includes creating an output data in the single pass in constant space for overlapping mode of results based on the matching of the ordered data with the pattern in the relational database query.

Abstract: A method and system for anonymizing selected content in a document, by receiving as input a document comprising content; assigning user access privileges to identified users based on an access control policy, the access control policy for the user based on a context and a set of pre-defined named entities stored in a repository; identifying named entities in the document; comparing the pre-defined set of named entities based on a context with named entities in the document; concealing the named entities identified in the document matching with the pre-defined set of named entities; and providing as output a document, wherein the set of pre-defined named entities have been concealed based on the identified user access.

Abstract: A method and system for anonymizing selected content in a document, by receiving as input a document comprising content; assigning user access privileges to identified users based on an access control policy, the access control policy for the user based on a context and a set of pre-defined named entities stored in a repository; identifying named entities in the document; comparing the pre-defined set of named entities based on a context with named entities in the document; concealing the named entities identified in the document matching with the pre-defined set of named entities; and providing as output a document, wherein the set of pre-defined named entities have been concealed based on the identified user access.

Abstract: A method of associating a given text document with relevant structured data is disclosed. The method receives as inputs a text document, and structured data in the form of a relational database. The method then identifies terms in the text document, and searches and queries the structured data using the terms to identify fragments of the structured data that are relevant to the document. Finally, the text document and the identified fragments of structured data are output to a user.

Abstract: A method, system, and program storage device for implementing the method of retrieving relevant unstructured data based on a result of a relational query on a structured database, wherein the method comprises retrieving a context from the structured database by the relational query; analyzing the retrieved context from the structured database; identifying an additional relevant term for a query on an unstructured database according to a result of the analyzing; and retrieving a desired data from the unstructured database according to a search with the additional relevant term.

Abstract: Extensible Markup Language (XML) data is mapped to be stored in an alternative data base management system (DBMS) by generating a plurality of alternative ones of mappings in response to a supplied XML document and corresponding XML schema; evaluating at least a prescribed attribute of each of the plurality of mappings with respect to an expected workload for the storage system; and selecting one of the alternative mappings based on the prescribed attribute which is the most advantageous for the expected system workload. More specifically, applicants employ a unique process that utilizes a unique notion of physical XML Schemas, i.e., P-Schemas; a P-Schema costing procedure; a set of P-Schema rewritings; and a search strategy to heuristically determine the P-Schema with the least cost. Specifically, the unique notion of physical XML Schemas, extend XML Schemas to contain data statistics; a P-Schema can be easily and uniquely mapped into a storage configuration for the target DBMS.

Abstract: A reference counting a garbage collection process employs a reference counting technique in which only the “last” detected strong pointer is followed to an object. Moreover, no assumptions are made about the phase locking used in the transaction and strict WAL is not followed. Indeed, a relatively restricted local traversal of the object graph is employed which leads to higher efficiency. Furthermore, in a client-server arrangement, updates made by a transaction running at the client may be reflected at the server after the transaction ends, and the updates are not required to be forced to the server before the end of the transaction.