17. A processor readable non-transitory storage media that includes instructions for managing data, wherein execution of the instructions by one or more hardware processors performs actions, comprising: providing a principal data set and another data set, wherein the principal data set includes a plurality of principal objects and the other data set includes a plurality of other objects; instantiating a first engine to perform actions including: associating each of the plurality of principal objects with one or more other objects that are selected from the plurality of other objects, wherein the one or more other objects are selected as potential matches to one or more of the principal objects; selecting one or more principal objects of the plurality of principal objects based on one or more heuristics and the one or more selected principal objects association with selected other objects; and labeling one or more of the selected other objects as either a match or a non-match of their associated principal object; and instantiating a second engine to perform actions, including: training a ranker to identify a selected other object that is top-ranked in similarity to its association with the one or more principal objects based on the labeling of the one or more selected other objects; and employing the trained ranker to indicate a match among the plurality of principal objects and the plurality of other objects; and instantiating a third engine to selectively filter the plurality of other objects to rank each matched other object higher than other objects associated with a same principal object, wherein geolocation information from a GPS device is employed to localize a display of the ranked other objects including one or more of time zone or language, and wherein a hardware security module is used to provide tamper resistant safeguarding of cryptographic information.
17. A processor readable non-transitory storage media that includes instructions for managing data, wherein execution of the instructions by one or more hardware processors performs actions, comprising: providing a principal data set and another data set, wherein the principal data set includes a plurality of principal objects and the other data set includes a plurality of other objects; instantiating a first engine to perform actions including: associating each of the plurality of principal objects with one or more other objects that are selected from the plurality of other objects, wherein the one or more other objects are selected as potential matches to one or more of the principal objects; selecting one or more principal objects of the plurality of principal objects based on one or more heuristics and the one or more selected principal objects association with selected other objects; and labeling one or more of the selected other objects as either a match or a non-match of their associated principal object; and instantiating a second engine to perform actions, including: training a ranker to identify a selected other object that is top-ranked in similarity to its association with the one or more principal objects based on the labeling of the one or more selected other objects; and employing the trained ranker to indicate a match among the plurality of principal objects and the plurality of other objects; and instantiating a third engine to selectively filter the plurality of other objects to rank each matched other object higher than other objects associated with a same principal object, wherein geolocation information from a GPS device is employed to localize a display of the ranked other objects including one or more of time zone or language, and wherein a hardware security module is used to provide tamper resistant safeguarding of cryptographic information. 22. The media of claim 17 , wherein providing the one or more principal objects further comprises, selecting the principal model objects at random from a portion of the plurality of principal model objects, wherein the portion of principal model objects are associated with two or more selected other objects and one or more of the two or more selected other objects have a similarity score that exceeds a threshold value.