Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for executing a process flow represented by a graph or portion thereof using cached subgraphs. A first request to execute a first portion of a process flow is processed, where the first portion of the process flow is represented by a first subgraph of a graph representing the process flow and a final node of the first subgraph corresponds to a set of computer-readable instructions. The first portion of the process flow is executed such that a first output of executing the first portion of the process flow is obtained. The first subgraph is stored in association with the first output in a first cache entry of a cache. A second request to execute a second portion of the process flow is processed, where the second portion of the process flow is represented by a second subgraph of the graph.

Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for executing a process flow represented by a graph or portion thereof using cached subgraphs. A first request to execute a first portion of a process flow is processed, where the first portion of the process flow is represented by a first subgraph of a graph representing the process flow and a final node of the first subgraph corresponds to a set of computer-readable instructions. The first portion of the process flow is executed such that a first output of executing the first portion of the process flow is obtained. The first subgraph is stored in association with the first output in a first cache entry of a cache. A second request to execute a second portion of the process flow is processed, where the second portion of the process flow is represented by a second subgraph of the graph.

Abstract: Disclosed herein are system, method, and device embodiments for implementing visual context in dataflows. A computing device may display a dataflow representation associated with a transformative process, receive selection of an individual node of the dataflow representation, and determine a visual context associated with the individual node based on a data transformation step associated with the individual node. Further, the computing device may determine a plurality of nodes associated with the visual context, and apply a graphical effect to the individual node and the plurality of nodes, the graphical effect modifying an attribute of the individual node and the plurality of nodes.

Abstract: A computer implemented method of providing suggestions of related columns for a table operation in a data management system is provided. In one embodiment, the method includes storing, by a processor, a table having a plurality of rows and a plurality of columns, metadata associated with the plurality of columns, and data stored within the plurality of rows and the plurality of columns; receiving, by a processor, a table operation selected by a system or user; processing, by a processor, at least one of the data stored in the plurality of columns and the metadata associated with plurality columns based on a type of the selected table operation to determine at least one relationship between at least two columns of the plurality of columns; and generating, by the processor, dialog data that presents the at least one relationship between the at least two columns to a system or user for use in the table operation.

Abstract: Disclosed herein are system, method, and device embodiments for implementing visual context in dataflows. A computing device may display a dataflow representation associated with a transformative process, receive selection of an individual node of the dataflow representation, and determine a visual context associated with the individual node based on a data transformation step associated with the individual node. Further, the computing device may determine a plurality of nodes associated with the visual context, and apply a graphical effect to the individual node and the plurality of nodes, the graphical effect modifying an attribute of the individual node and the plurality of nodes.

Abstract: An online system manages data by determining relevance of data dimensions to users. The online system determines which data dimensions a user is likely to be interested in. If a user requests to access a data set that includes data of different dimensions, the online system analyzes the dimensions' relevance to the user before providing the data set to the user. The online system provides the data to the user by prioritizing data dimensions that are more relevant to the user. As such, the online system improves the user experience by allowing users to conveniently and quickly locate relevant data and minimizing the distraction caused by irrelevant data. The online system may create and provide a user interface to present data dimensions that are determined to be relevant.

Abstract: A computer implemented method of providing suggestions of related columns for a table operation in a data management system is provided. In one embodiment, the method includes storing, by a processor, a table having a plurality of rows and a plurality of columns, metadata associated with the plurality of columns, and data stored within the plurality of rows and the plurality of columns; receiving, by a processor, a table operation selected by a system or user; processing, by a processor, at least one of the data stored in the plurality of columns and the metadata associated with plurality columns based on a type of the selected table operation to determine at least one relationship between at least two columns of the plurality of columns; and generating, by the processor, dialog data that presents the at least one relationship between the at least two columns to a system or user for use in the table operation.

Abstract: An online system manages data by determining relevance of data dimensions to users. The online system determines which data dimensions a user is likely to be interested in. If a user requests to access a data set that includes data of different dimensions, the online system analyzes the dimensions' relevance to the user before providing the data set to the user. The online system provides the data to the user by prioritizing data dimensions that are more relevant to the user. As such, the online system improves the user experience by allowing users to conveniently and quickly locate relevant data and minimizing the distraction caused by irrelevant data. The online system may create and provide a user interface to present data dimensions that are determined to be relevant.