Abstract: A system is disclosed to evaluate data quality in a big data environment. An example method performed by the system includes retrieving one or more rules from an asset catalog. The method further includes retrieving, based on the one or more rules, counter information from a data set, and generating, by a processor, one or more metrics based on the one or more rules and the counter information. In addition, the method includes evaluating, by the processor, the one or more metrics based on the one or more rules. In an instance in which evaluation of a particular metric of the one or more metrics identifies an attribute value that exceeds a predetermined threshold, the method includes causing a notification message regarding the particular metric to be output. A corresponding apparatus and computer program product are also provided.

Abstract: A system is disclosed to evaluate data quality in a big data environment. An example method performed by the system includes retrieving one or more rules from an asset catalog. The method further includes retrieving, based on the one or more rules, counter information from a data set, and generating, by a processor, one or more metrics based on the one or more rules and the counter information. In addition, the method includes evaluating, by the processor, the one or more metrics based on the one or more rules. In an instance in which evaluation of a particular metric of the one or more metrics identifies an attribute value that exceeds a predetermined threshold, the method includes causing a notification message regarding the particular metric to be output. A corresponding apparatus and computer program product are also provided.

Abstract: A system is disclosed to evaluate data quality in a big data environment. An example method performed by the system includes retrieving one or more rules from an asset catalog. The method further includes retrieving, based on the one or more rules, counter information from a data set, and generating, by a processor, one or more metrics based on the one or more rules and the counter information. In addition, the method includes evaluating, by the processor, the one or more metrics based on the one or more rules. In an instance in which evaluation of a particular metric of the one or more metrics identifies an attribute value that exceeds a predetermined threshold, the method includes causing a notification message regarding the particular metric to be output. A corresponding apparatus and computer program product are also provided.

Abstract: An approach is provided for providing services via cloud based analytics. An analytics platform determines one or more data propagation policies associated with propagating user information from at least one device to one or more cloud components. The analytics platform also processes and/or facilitates a processing of the one or more data propagation policies to cause, at least in part, a propagation of the user information to the one or more cloud components, wherein the propagation causes, at least in part, the user information to be available to one or more applications, one or more services, or a combination thereof.

Abstract: A system is disclosed to evaluate data quality in a big data environment. An example method performed by the system includes retrieving one or more rules from an asset catalog. The method further includes retrieving, based on the one or more rules, counter information from a data set, and generating, by a processor, one or more metrics based on the one or more rules and the counter information. In addition, the method includes evaluating, by the processor, the one or more metrics based on the one or more rules. In an instance in which evaluation of a particular metric of the one or more metrics identifies an attribute value that exceeds a predetermined threshold, the method includes causing a notification message regarding the particular metric to be output. A corresponding apparatus and computer program product are also provided.

Abstract: An approach is presented for performing a multi-role communication using a Radio Frequency (RF) memory tag. The control manager receives a content request, at a memory tag, from a first device according to a first access policy. Further, the control manager determines one or more sources of content data responsive to the content request. Then, the control manager provides access from the one or more sources to the memory tag according to a second access policy. The access facilitates transmission of the content data to the first device according to a third access policy.

Abstract: An approach is provided for providing services via cloud based analytics. An analytics platform determines one or more data propagation policies associated with propagating user information from at least one device to one or more cloud components. The analytics platform also processes and/or facilitates a processing of the one or more data propagation policies to cause, at least in part, a propagation of the user information to the one or more cloud components, wherein the propagation causes, at least in part, the user information to be available to one or more applications, one or more services, or a combination thereof.

Abstract: An approach is presented for performing a multi-role communication using a Radio Frequency (RF) memory tag. The control manager receives a content request, at a memory tag, from a first device according to a first access policy. Further, the control manager determines one or more sources of content data responsive to the content request. Then, the control manager provides access from the one or more sources to the memory tag according to a second access policy. The access facilitates transmission of the content data to the first device according to a third access policy.