1. A computer system implemented method for deploying data science transformations from a development computing environment into a production computing environment, comprising: receiving, with one or more first computing systems, first transformation data representing one or more first transformations defined in a first programming language, the one or more first transformations operable on one or more operands to generate one or more results, wherein the one or more first computing systems are a development computing environment; receiving second transformation data representing one or more second transformations defined in a second programming language, the one or more second transformations operable on the one or more operands to generate the one or more results, wherein each of the one or more second transformations defined in the second programming language mirrors a corresponding one of the one or more first transformations defined in the first programming language, further wherein the second transformation data includes one or more configuration parameters for configuring physical and/or virtual resources to execute one or more transformations; associating the first transformation data with the second transformation data in a transformations data structure to associate the one or more first transformations with the one or more second transformations; storing the transformations data structure to one or more sections of memory associated with the one or more computing systems; receiving macro-transformation data representing a macro-transformation in the first programming language, the macro-transformation being a combination of multiple ones of the one or more first transformations that are logically connected to receive operand data for the macro-transformation and are logically connected to provide output data from the macro-transformation; compiling the first programming language macro-transformation data to generate executable code for the macro-transformation in the second programming language to enable deployment of the macro-transformation into one or more second computing systems while preserving a relational complexity of the combination of multiple ones of the one or more first transformations of the macro-transformation, wherein compiling the macro-transformation data at least partially includes accessing contents of the transformations data structure that is stored in the one or more sections of memory; and deploying the executable code to the one or more second computing systems to enable the one or more second computing systems to interpret and execute the macro-transformation in the second programming language to provide services to a plurality of users that is at least partially based on a functionality of the macro-transformation, wherein the one or more second computing systems are the production environment.
1. A computer system implemented method for deploying data science transformations from a development computing environment into a production computing environment, comprising: receiving, with one or more first computing systems, first transformation data representing one or more first transformations defined in a first programming language, the one or more first transformations operable on one or more operands to generate one or more results, wherein the one or more first computing systems are a development computing environment; receiving second transformation data representing one or more second transformations defined in a second programming language, the one or more second transformations operable on the one or more operands to generate the one or more results, wherein each of the one or more second transformations defined in the second programming language mirrors a corresponding one of the one or more first transformations defined in the first programming language, further wherein the second transformation data includes one or more configuration parameters for configuring physical and/or virtual resources to execute one or more transformations; associating the first transformation data with the second transformation data in a transformations data structure to associate the one or more first transformations with the one or more second transformations; storing the transformations data structure to one or more sections of memory associated with the one or more computing systems; receiving macro-transformation data representing a macro-transformation in the first programming language, the macro-transformation being a combination of multiple ones of the one or more first transformations that are logically connected to receive operand data for the macro-transformation and are logically connected to provide output data from the macro-transformation; compiling the first programming language macro-transformation data to generate executable code for the macro-transformation in the second programming language to enable deployment of the macro-transformation into one or more second computing systems while preserving a relational complexity of the combination of multiple ones of the one or more first transformations of the macro-transformation, wherein compiling the macro-transformation data at least partially includes accessing contents of the transformations data structure that is stored in the one or more sections of memory; and deploying the executable code to the one or more second computing systems to enable the one or more second computing systems to interpret and execute the macro-transformation in the second programming language to provide services to a plurality of users that is at least partially based on a functionality of the macro-transformation, wherein the one or more second computing systems are the production environment. 15. The computer system implemented method of claim 1 , wherein the macro-transformation is an analytics model.