Abstract: An approach is provided for integrating data. Data is collected from one or more source systems and workflow data is extracted from the collected data. One or more predetermined tasks associated with execution of a workflow based on the workflow data are identified. Status information relating to progress of the workflow towards completion is estimated by correlating the workflow data with the one or more predetermined tasks.

Abstract: An approach for providing data access via a common access manager configured to support security for multiple database management system types is described. A request specifying access for a user to a feature associated with one of a plurality of database management system types is determined by a common access manager configured to support the database management system types. A first-level approval of the access request by a first-level approver is determined. The access request is forwarded to a second-level approver based on the first-level approval. A provisioning of the access to the feature for the user is initiated based on a second-level approval by the second-level approver.

Abstract: A device receives, from a data warehouse, a request for incremental data, creates one or more temporary tables based on the request, and extracts incremental data from tracking tables of an enterprise resource planning (ERP) system. The device also stores the extracted incremental data in the one or more temporary tables, and joins the one or more temporary tables with one or more regular tables, where the one or more regular tables include data associated with the incremental data stored in the one or more temporary tables. The device further retrieves data from the joined one or more temporary tables and the one or more regular tables, and stores the retrieved data in the data warehouse.

Abstract: An approach is provided for integrating data. Data is collected from one or more source systems and workflow data is extracted from the collected data. One or more predetermined tasks associated with execution of a workflow based on the workflow data are identified. Status information relating to progress of the workflow towards completion is estimated by correlating the workflow data with the one or more predetermined tasks.

Abstract: A device receives, from a data warehouse, a request for incremental data, creates one or more temporary tables based on the request, and extracts incremental data from tracking tables of an enterprise resource planning (ERP) system. The device also stores the extracted incremental data in the one or more temporary tables, and joins the one or more temporary tables with one or more regular tables, where the one or more regular tables include data associated with the incremental data stored in the one or more temporary tables. The device further retrieves data from the joined one or more temporary tables and the one or more regular tables, and stores the retrieved data in the data warehouse.

Abstract: An approach is provided for data migration. Table structure data associated with a logical table is extracted from a source database. Raw data associated with the logical table is extracted from the source database. A table structure in a target database is generated based on the table structure data. The raw data is loaded into the table structure in the target database.

Abstract: A server is configured to receive an input file or table that includes a number of data elements, where the data elements include some sensitive data elements of different types; identify each of the different types of sensitive data elements; identify a subset of the sensitive data elements that corresponds to each of the different types of sensitive data elements; simultaneously perform data masking operations on the sensitive data elements to create masked sensitive data elements, where a separate one of the data masking operations is performed on each of the subsets of the sensitive data elements; generate an output file or table that includes the data elements from the input file or table, where the sensitive data elements, of the input file or table, are replaced with the masked sensitive data elements; and output or store the output file or table.

Abstract: A system for a renewable source of energy may include a light concentration device to collect and concentrate sunlight, a light transmission device to transmit the collected and concentrated sunlight, and a light receiving device to receive the collected and concentrated sunlight and to convert the sunlight to heat. The light receiving device may be a clothes dryer, and the clothes dryer may include a rotating drum having a window to receive the sunlight. The light receiving device may be an oven, and the light receiving device may be is used to create light in a darkened area. The light concentrating device may be a convex lens, and the light transmitting device may be a fiber-optic cable. The light transmitting device may be a pipe.

Abstract: An interface gateway may receive a request including a first interface identifier. The interface gateway is associated with a group of interfaces, where each interface is associated with metadata that defines the interface. The metadata may include an interface identifier, information identifying services to be executed for the interface and an order in which the identified services are to be executed, and information identifying servers on which the identified services are implemented. The interface gateway may also identify, for the received request, one interface, of the group of interfaces, for processing the request based on the first interface identifier. The interface gateway may further process the received request using the one interface.

Abstract: A server is configured to receive an input file or table that includes a number of data elements, where the data elements include some sensitive data elements of different types; identify each of the different types of sensitive data elements; identify a subset of the sensitive data elements that corresponds to each of the different types of sensitive data elements; simultaneously perform data masking operations on the sensitive data elements to create masked sensitive data elements, where a separate one of the data masking operations is performed on each of the subsets of the sensitive data elements; generate an output file or table that includes the data elements from the input file or table, where the sensitive data elements, of the input file or table, are replaced with the masked sensitive data elements; and output or store the output file or table.

Abstract: An approach is provided for data dependent routing. Sales data including a transaction key is received. One of a plurality of order databases is selected based on the transaction key. The sales data is forwarded to the one order database for storage.