Abstract: A system, method, and computer-readable medium for performing a variable and interaction detection operation. In certain embodiments, the variable and interaction detection operation detects important variables and as well as interactions among certain important variables in big data. In certain embodiments, the variable and interaction detection operation includes a robust automated process flow (i.e., an analytic recipe) which identifies important variables and their interactions in large data sets.

Abstract: A system, method, and computer-readable medium for performing an auto-query construction operation for use with a distributed analytics operation. More specifically, in certain embodiments, the auto-query construction operation provides automatically generates SQL code instructions via an auto-query construction user interface (UI) settings in a computational system, such as the Dell Statistica computational system. The auto-query construction operation allows a user to interact with a common interface to provide query information including decision variables, parameters of an analysis and convergence criteria. The query information provided via the UI is automatically transformed to database queries and subsequent computation system operations. Thus, the user experience remains intact whether the analytics is performed in database or within the computation system.

Abstract: A system, method, and computer-readable medium for performing a distributed analytics operation. The distributed analytics operation uses interface technologies to de-couple an actual data storage technology from an implementation of distributed analytics. Such a distributed analytics operation obviates requirements to deploy specific computer code onto a data storage platform to specifically target that platform for distributed predictive analytics computations.

Abstract: A system, method, and computer-readable medium for performing in-database operations, comprising: presenting an automation interface to a user, the user interface automation interface enabling a user to select one or more key performance indicators; instantiating an in-database processing operation, the in-database processing operation performing feature selection from a high dimensional parameter space; executing at least one database statement within the storage system to derive a subset of diagnostic parameters from the high dimensional parameter space.

Abstract: A system, method, and computer-readable medium are disclosed for identifying sources of variation in complex manufacturing processes via a variation identification operation. In certain embodiments, the variation identification operation is performed via a variation identification system. The variation identification operation addresses special class of analytic problems, namely the estimation of variance components and related statistics from very large (big data) hierarchically nested designs of random factors. These types of data structures occur frequently across various industries, and in particular in automated and batch manufacturing where the variability in product quality as measured in final product testing should be related to batches, lots, wafers, suppliers, etc. upstream of the process.

Abstract: A system, method, and computer-readable medium are disclosed for identifying sources of variation in complex manufacturing processes via a variation identification operation. In certain embodiments, the variation identification operation is performed via a variation identification system. The variation identification operation addresses special class of analytic problems, namely the estimation of variance components and related statistics from very large (big data) hierarchically nested designs of random factors. These types of data structures occur frequently across various industries, and in particular in automated and batch manufacturing where the variability in product quality as measured in final product testing should be related to batches, lots, wafers, suppliers, etc. upstream of the process.

Abstract: A system, method, and computer-readable medium for performing an analytics workflow generation operation. The analytics workflow generation operation enables generation of targeted analytics workflows (e.g., via a data scientist (i.e., an expert in data modeling)) that are then published to a workflow storage repository so that the targeted analytics workflows can be used by domain experts and self-service business end-users to solve specific classes of analytics operations.

Abstract: A system, method, and computer-readable medium for performing a variable and interaction detection operation. In certain embodiments, the variable and interaction detection operation detects important variables and as well as interactions among certain important variables in big data. In certain embodiments, the variable and interaction detection operation includes a robust automated process flow (i.e., an analytic recipe) which identifies important variables and their interactions in large data sets.

Abstract: A system, method, and computer-readable medium for performing in-database operations, comprising: presenting an automation interface to a user, the user interface automation interface enabling a user to select one or more key performance indicators; instantiating an in-database processing operation, the in-database processing operation performing feature selection from a high dimensional parameter space; executing at least one database statement within the storage system to derive a subset of diagnostic parameters from the high dimensional parameter space.

Abstract: A system, method, and computer-readable medium for performing an auto-query construction operation for use with a distributed analytics operation. More specifically, in certain embodiments, the auto-query construction operation provides automatically generates SQL code instructions via an auto-query construction user interface (UI) settings in a computational system, such as the Dell Statistica computational system. The auto-query construction operation allows a user to interact with a common interface to provide query information including decision variables, parameters of an analysis and convergence criteria. The query information provided via the UI is automatically transformed to database queries and subsequent computation system operations. Thus, the user experience remains intact whether the analytics is performed in database or within the computation system.

Abstract: A system, method, and computer-readable medium for performing a distributed analytics operation. The distributed analytics operation uses interface technologies to de-couple an actual data storage technology from an implementation of distributed analytics. Such a distributed analytics operation obviates requirements to deploy specific computer code onto a data storage platform to specifically target that platform for distributed predictive analytics computations.