Abstract: Exposing parameters in referencing worksheets including receiving a request for a referencing worksheet linked from a data source worksheet, wherein the data source worksheet is a presentation of a data set from a database, and wherein the data source worksheet comprises a function utilizing an exposable parameter; generating the referencing worksheet from the data source worksheet, wherein the referencing worksheet exposes the exposable parameter without exposing the function utilizing the exposable parameter; and presenting the referencing worksheet with the exposable parameter without allowing access to the function utilizing the exposable parameter.

Abstract: Top frequency worksheet filtering including sending a first request comprising a first search term; receiving, in response to the first request, a first plurality of distinct values having a greatest frequency in a data set and responsive to the first search term, wherein the first plurality of distinct values comprises a number of distinct values less than or equal to a size threshold; presenting the first plurality of distinct values; receiving a selection of a first value from the first plurality of distinct values; and filtering, based on the selected first value, a worksheet comprising a presentation of the data set.

Abstract: Servicing database requests using subsets of canonicalized tables including maintaining a canonical table repository of canonicalized tables, wherein each canonicalized table is a transformed version of a table previously retrieved from a database; receiving, from a client computing system, a request for a table from the database; generating a description of a canonical version of the requested table; determining that the canonical version of the requested table is a subset of a canonicalized table in the canonical table repository; and in response to determining that the canonical version of the requested table is a subset of the canonicalized table in the canonical table repository: transforming the canonicalized table containing a superset of the canonical version of the requested table based on the received request for the table; and providing, to the client computing system, the transformed canonicalized table containing the superset of the canonical version of the requested table.

Abstract: Data visualization with derived dimensional hierarchy including presenting, by a table manager via a graphical user interface (GUI) on a client computing system, column identifiers from a table retrieved from a cloud-based data warehouse; receiving, by the table manager, an instruction to generate a first visualization, wherein the instruction to generate the first visualization comprises a selection of column identifiers; deriving, by the table manager, a dimensional hierarchy based on the selected column identifiers; and generating, by the table manager based on the derived dimensional hierarchy, the first visualization in the GUI of the client computing system.

Abstract: Nested pagination for presenting a data set in a graphical user interface (GUI) including receiving a request for the data set to present in a GUI, wherein the request comprises a group name identifying a nested group of rows in the data set; selecting an anchor point from the data set using the group name, wherein the anchor point is within the group of rows identified by the group name; selecting, using the anchor point, a subset of the data set for presentation in the GUI, wherein the subset of the data set comprises the anchor point; and presenting the subset of the data set in the GUI.

Abstract: Servicing database requests using canonicalized tables including receiving, from a client computing system, a request for a table from a database; determining that a canonical version of the requested table matches a canonicalized table in a canonical table repository; and providing, to the client computing system, the matching canonicalized table that is transformed based on the received request for the table.

Abstract: Servicing database requests using derivations of canonicalized tables including maintaining a canonical table repository of canonicalized tables, wherein each canonicalized table is a transformed version of a table previously retrieved from a database; receiving, from a client computing system, a request for a table from the database; generating a description of a canonical version of the requested table; determining that the canonical version of the requested table is derivable using a canonicalized table in the canonical table repository; and in response to determining that the canonical version of the requested table is derivable using the canonicalized table in the canonical table repository: transforming the canonicalized table in the canonical table repository based on the received request for the table, including deriving a portion of the requested table using the canonicalized table in the canonical table repository; and providing, to the client computing system, the transformed canonicalized table.

Abstract: Compiling a database query including receiving, by a query compiler from a client computing system, a state specification of a graphical user interface comprising a worksheet, wherein the worksheet is a presentation of a data set from a data warehouse; converting, by the query compiler, the state specification into a database query including determining a first order of operations for elements within the state specification; and sending the database query to the data warehouse.

Abstract: Creating a model data set using a spreadsheet interface including generating the model data set using the spreadsheet interface and a first data source from a data warehouse, wherein the model data set is a reusable modeling layer comprising at least a portion of the first data source, and wherein generating the model data set comprises: creating a first worksheet using the spreadsheet interface and the first data source; receiving an indication that the first worksheet is a model data set; and generating model data set metadata for the first worksheet; and providing, as a second data source for a second worksheet, the model data set generated from the model data set metadata.

Abstract: Servicing database requests using canonicalized tables including maintaining a canonical table repository of canonicalized tables, wherein each canonicalized table is a transformed version of a table previously retrieved from a database; receiving, from a client computing system, a request for a table from the database; generating a description of a canonical version of the requested table; determining whether the canonical version of the requested table matches a canonicalized table in the canonical table repository; and if the canonical version of the requested table matches the canonicalized table in the canonical table repository: transforming the matching canonicalized table based on the received request for the table; and providing, to the client computing system, the transformed matching canonicalized table.

Abstract: Servicing database requests using derivations of canonicalized tables including maintaining a canonical table repository of canonicalized tables, wherein each canonicalized table is a transformed version of a table previously retrieved from a database; receiving, from a client computing system, a request for a table from the database; generating a description of a canonical version of the requested table; determining that the canonical version of the requested table is derivable using a canonicalized table in the canonical table repository; and in response to determining that the canonical version of the requested table is derivable using the canonicalized table in the canonical table repository: transforming the canonicalized table in the canonical table repository based on the received request for the table, including deriving a portion of the requested table using the canonicalized table in the canonical table repository; and providing, to the client computing system, the transformed canonicalized table.

Abstract: Maintaining cardinality of rows while joining worksheets from a database including receiving a request to join, to a first worksheet, a second worksheet from the database; for each row in the first worksheet: generating a join row for data from the second worksheet on the database; in response to determining that there is at least one matching row in the second worksheet on the database: compare a maximum value and a minimum value for each column in each row of the at least one matching row; if the maximum value and the minimum value match, store a matching value in a corresponding column of the join row; and if the maximum value and the minimum value do not match, store a multiple value indication in the corresponding column of the join row; and presenting the join row adjacent to a corresponding row in the first worksheet.

Abstract: Database writeback using an intermediary statement generator including receiving, by a statement generator, a table update request to update a table within a database on a cloud-based data warehouse, wherein the table update request comprises an update value and a selection of a row and a column from the table; verifying, by the statement generator, that the selection is updatable; generating, by the statement generator based on the selection and in response to the verification, an update database statement comprising a table identifier, a column identifier, a row identifier, and the update value; and sending, by the statement generator, the update database statement to the database on the cloud-based data warehouse, wherein the table of the database is updated in response to receiving the update database statement.

Abstract: Creating a model data set using a spreadsheet interface including generating the model data set using the spreadsheet interface and a first data source from a data warehouse, wherein the model data set is a reusable modeling layer comprising at least a portion of the first data source, and wherein generating the model data set comprises: creating a first worksheet using the spreadsheet interface and the first data source; receiving an indication that the first worksheet is a model data set; and generating model data set metadata for the first worksheet; and providing, as a second data source for a second worksheet, the model data set generated from the model data set metadata.

Abstract: Join key propagation including receiving a request to generate a referencing worksheet linked from a data source worksheet, wherein the data source worksheet is a presentation of a data set organized in columns from two data source tables joined using a join key, and wherein the referencing worksheet presents at least a subset of the data set presented by the data source worksheet; retrieving data source worksheet metadata and the join key using a reference to the data source worksheet metadata in the request; determining an additional column from the two data source tables to add to the referencing worksheet, wherein the additional column is excluded from the data source worksheet; and creating, using the data source worksheet metadata and the join key, the referencing worksheet presenting the columns from the two data source tables with the additional column.

Abstract: Compiling a database query including receiving, by a query compiler from a client computing system, a state specification of a graphical user interface comprising a worksheet, wherein the worksheet is a presentation of a data set from a data warehouse; converting, by the query compiler, the state specification into a worksheet algebra including determining a first order of operations for elements within the state specification, wherein the worksheet algebra comprises the first order of operations over a nested table; converting, by the query compiler, the worksheet algebra into a database query; and sending the database query to the data warehouse.

Abstract: Maintaining cardinality of rows while joining worksheets from a database including receiving a request to join, to a first worksheet, a second worksheet from the database; for each row in the first worksheet: generating a join row for data from the second worksheet on the database; in response to determining that there is at least one matching row in the second worksheet on the database: compare a maximum value and a minimum value for each column in each row of the at least one matching row; if the maximum value and the minimum value match, store a matching value in a corresponding column of the join row; and if the maximum value and the minimum value do not match, store a multiple value indication in the corresponding column of the join row; and presenting the join row adjacent to a corresponding row in the first worksheet.

Abstract: Enabling editable tables on a cloud-based data warehouse including receiving, by a query manager from a query manager client, a request to create a referencing worksheet using, as a data source, a client-provided table; storing, by the query manager, the client-provided table on the cloud-based data warehouse; generating, by the query manager, a database query to create the referencing worksheet, wherein the database query targets the client-provided table on the cloud-based data warehouse; and issuing, by the query manager, the database query to the cloud-based data warehouse.

Abstract: Generating a database query to dynamically aggregate rows of a data set including determining a hierarchical relationship between a first column and a second column within a spreadsheet structure, wherein the first column and the second column comprise rows of the data set; receiving a calculation for a third column within the spreadsheet structure; determining that the third column is on a same hierarchical level as the first column; and in response to determining that the third column is on the same hierarchical level as the first column, generating the database query aggregating a plurality of rows of the data set based on the calculation for the third column and the hierarchical relationship between the first column and the second column.

Abstract: Enabling editable tables on a cloud-based data warehouse including receiving, by a query manager, a client-provided table; receiving, by the query manager from a query manager client, a request to create a referencing worksheet using, as data sources, the client-provided table and a database table on a cloud-based data warehouse; storing, by the query manager, the client-provided table in the schema storage location on the cloud-based data warehouse, wherein the schema storage location is a storage location on the cloud-based data warehouse to which the query manager has read and write access, and wherein the database table is external to the schema storage location; generating, by the query manager, a database query to create the referencing worksheet, wherein the database query targets the client-provided table in the schema storage location and the database table; and issuing, by the query manager, the database query to the cloud-based data warehouse.