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 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 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.

Abstract: A system, method, and computer-readable medium for virtualizing in-database operations such as complex analytic and scoring computations, and de-coupling these operations from the specific underlying database or data storage platform and location.

Abstract: A flow through drain filter for removing trash, sediment, liquid hydrocarbons, and metal ions comprised of at least four concentric screens having a deionizing filter material disposed between an exit screen and a second middle inner screen and hydrophobic and liquid hydrocarbon absorbent material disposed between first and second middle screens and a sediment capture space between the first middle screen and a trash exclusion intake screen.

Abstract: A flow through drain filter for removing trash, sediment, liquid hydrocarbons, and metal ions comprised of at least four concentric screens having a deionizing filter material disposed between an exit screen and a second middle inner screen and hydrophobic and liquid hydrocarbon absorbent material disposed between first and second middle screens and a sediment capture space between the first middle screen and a trash exclusion intake screen.

Abstract: A Stormwater Drain Filter for removing sediment and liquid hydrocarbons comprised of a tank having a central outlet which flows into a sewer inlet and is surrounded by a floating boom which is hydrophobic and liquid hydrocarbon absorbent.