28. A computer-implemented method comprising: retrieving node data, from a node device, wherein the node data is descriptive of at least one characteristic of an execution environment of the node device: generating a current data set model, at a coordinating device, wherein the current data set model is descriptive of at least one characteristic of a current data set; comparing the current data set model to at least one previously generated data set model of at least one previously analyzed data set to detect a match in the at least one characteristic that meets a similarity threshold, wherein the at least one previously generated data set model is descriptive the of at least one characteristic of the at least one previously analyzed data set; in response to detection of a match that meets the similarity threshold between the at least one characteristic described in the current data set model and the at least one characteristic described in the at least one previously generated data set model: retrieving an indication from a correlation database of at least one previously performed action previously performed on the at least one previously analyzed data set, wherein the at least one previously performed action comprises at least one of normalization, a transform or a task performed on the at least one previously analyzed data set; selecting a computer language based on the node data; generating, at the coordinating device, node instructions, in the selected computer language and based on at least the current data set model, to cause the node device to perform the at least one previously performed action on at least a portion of the current data set; and transmitting the node instructions to the node device; retrieving multiple instances of descriptive data from multiple node devices, wherein the multiple node devices comprises the node device, and each instance of descriptive data is descriptive of at least one characteristic of a portion of the current data set that is stored by a corresponding one of the multiple node devices; combining the multiple instances of descriptive data to generate an annotated metadata, wherein the annotated metadata comprises an indication of at least one of a label by which the current data set is organized, a delimiter used to separate two data items within the current data set, or a format of a data item within the current data set; and generating, at the coordinating device, the current data set model from the annotated metadata, wherein the at least one characteristic of the current data set comprises at least one of a quantity of rows into which the current data set is organized, a quantity of data items that employ a specified format, a degree of sparseness of the current data set, or a degree of cardinality of the current data set.
29. The computer-implemented method of claim 28 , comprising: retrieving multiple instances of node data from the multiple node devices, wherein the multiple instances of node data comprises the node data retrieved from the node device; and in response to the detection of a match that meets the similarity threshold between the at least one characteristic described in the current data set model and the at least one characteristic described in the at least one previously generated data set model: selecting at least one computer language from which to generate multiple instances of node instructions to cause each node device of the multiple node devices to perform the at least one previously performed action on a corresponding portion of the current data set, wherein in the multiple instances of node instructions comprises the node instructions transmitted to the node device; and transmitting the multiple instances of node instructions to the multiple node devices.