Abstract: Accessing and organizing data sets directly from a data warehouse including receiving, by a data analyzer, a request from a service provider client instructing the data analyzer to retrieve a data set from a service provider data warehouse, wherein the service provider client is a client of a service provider, and wherein the service provider data warehouse stores data sets for the service provider; retrieving, by the data analyzer, the data set directly from the service provider data warehouse using credentials provided by the service provider; selecting, by the data analyzer, a worksheet template based on the service provider; organizing, by the data analyzer, the data set into a worksheet based on the worksheet template; and presenting, by the data analyzer to the service provider client, the worksheet comprising the data set.

Abstract: Managing worksheet access including receiving a request from a first user account to access a worksheet shared from a second user account, wherein the worksheet comprises a worksheet architecture for at least one data set from a database; determining that the first user account is authorized to access the worksheet architecture of the worksheet; determining that the first user account is authorized to access the at least one data set presented by the worksheet; and granting the first user account access to the worksheet in response to determining that the first user account is authorized to access the worksheet architecture of the worksheet and determining that the first user account is authorized to access the at least one data set presented by the worksheet.

Abstract: Optimizing database statements using a query compiler including receiving, by a query compiler from a client computing system, a state specification of a graphical user interface; compiling, by the query compiler, a database statement from the state specification, including: optimizing the database statement by repositioning, within the database statement, a limit clause such that the limit clause is processed by the database before at least one join clause; and sending, by the query compiler, the optimized database statement to a database on a cloud-based data warehouse.

Abstract: Dashboard loading from a cloud-based data warehouse cache, including determining that a result for a first query is stored in a cache of a cloud-based data warehouse; sending, in response to the result being stored in the cache, to the cloud-based data warehouse, a request for the result from the cache; and providing, based on the result for the first query, one or more dashboard visualizations.

Abstract: Syncing data warehouse permissions using single sign-on authentication including establishing a link between a first cloud-based data warehouse and a second cloud-based data warehouse, wherein the link facilitates access to data stored in the second cloud-based data warehouse via the first cloud-based data warehouse; receiving, by the first cloud-based data warehouse, a first query referencing first data stored in the second cloud-based data warehouse; accessing, by the first cloud-based data warehouse, from the second cloud-based data warehouse, the first data; and sending a response to the first query based on the accessed first data.

Abstract: Providing access to usage reports on a cloud-based data warehouse including maintaining, by a management module, a metadata table on the cloud-based data warehouse, wherein the metadata table comprises usage reports for a plurality of organizations; receiving, by the management module, a request for the metadata table from an administrator account for a first organization of the plurality of organizations; granting, by the management module, the administrator account permission to access a filtered portion of the metadata table, wherein the filtered portion of the metadata table is generated by filtering the metadata table by an organization identifier of the first organization; and providing, by the management module, the filtered portion of the metadata table to the administrator account.

Abstract: Dynamically normalizing intervals in a table including receiving, from a client computing system, a request to normalize intervals for a data set on a cloud-based data warehouse, wherein the request comprises a reference to the data set and a data range; generating, on the cloud-based data warehouse, an interval table using the data range; joining, into a joined table on the cloud-based data warehouse, the interval table and the data set; receiving the joined table from the cloud-based data warehouse; and presenting, via a graphical user interface on the client computing system, the joined table as a worksheet.

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: 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 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: Supplanting access credentials for shared data visualizations including receiving, from a first identity provider (IDP) account, a request to generate a data visualization utilizing restricted data from a cloud-based data warehouse, wherein the data visualization is generated by accessing the restricted data using the first IDP account; in response to receiving a request to share the data visualization with a receiving entity without access to the restricted data, associating, by a data visualizer, the data visualization with a service account with access to the restricted data, wherein the service account is not authenticated as a user of the first IDP account; and providing, by the data visualizer to the receiving entity, access to the data visualization including generating the data visualization by accessing, using the service account, the restricted data from the cloud-based data warehouse.

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: Search using data warehouse grants including determining, for a user, one or more access grants for a cloud-based data warehouse, each of the access grants comprising an object identifier of a data object accessible to the user; generating a search query comprising one or more search terms and a filter based on each of the access grants; sending the search query to a search indexing service configured to maintain an index of the cloud-based data warehouse; and receiving, in response to the search query, first search results responsive to the one or more search terms and included in a scope based on the filter.

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: 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: 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: 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: 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.