Abstract: Directly accessing and organizing data sets 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, wherein the service provider data warehouse stores data sets for the service provider, and wherein the service provider client accesses the data analyzer and the service provider data warehouse without providing credentials; retrieving, by the data analyzer, the data set directly from the service provider data warehouse using credentials provided by the service provider; organizing, by the data analyzer, the data set into a worksheet; and presenting, by the data analyzer to the service provider client, the worksheet comprising the data set.

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.

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: 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: 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: Automatic rewriting of subtotal calculations including presenting, by a table manager, a spreadsheet structure on a GUI of a client computing system, wherein the spreadsheet structure presents a data set from a cloud-based data warehouse; receiving, at a first column of the spreadsheet structure by the table manager, a formula that includes a reference to a second column of the spreadsheet structure, wherein the formula is received from the client computing system; detecting, by the table manager, that the second column includes a subtotal calculation of a third column of the spreadsheet structure; and rewriting, by the table manager, the formula by replacing the reference to the second column with the subtotal calculation of the third column.

Abstract: Linking data sets, including receiving a selection of a first column of a first data set related to a second column of a second data set; in response to the selection, generating a query based on a relationship between the first column of the first data set and the second column of the second data set; and presenting a third data set based on a response to the query.

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: Live editing a workbook with multiple clients including receiving, by a workbook manager from a first workbook client, a first workbook patch comprising a base version ID and a first workbook edit; determining, by the workbook manager, that the base version ID from the first workbook patch matches the version ID for a confirmed workbook on the workbook manager; applying, by the workbook manager, the first workbook edit to the confirmed workbook on the workbook manager; advancing, by the workbook manager, the version ID for the confirmed workbook; and sending, by the workbook manager, an acknowledgement of the first workbook patch to the first workbook client.

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: Sharing data across cloud-based data warehouses 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: 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: Managing database queries using a deconstructed cloud database including receiving, by a communications manager of the deconstructed cloud database, a state specification from a client computing system; converting, by a query optimizer of the deconstructed cloud database, the state specification into a query plan comprising a database query targeting an offloaded execution engine; retrieving, by a dispatcher of the deconstructed cloud database, query results from the offloaded execution engine using the database query; and presenting, by the communications manager, the query results to the client computing system.

Abstract: Automatic rewriting of subtotal calculations including presenting, by a table manager, a spreadsheet structure on a GUI of a client computing system, wherein the spreadsheet structure presents a data set from a cloud-based data warehouse; receiving, at a first column of the spreadsheet structure by the table manager, a formula that includes a reference to a second column of the spreadsheet structure, wherein the formula is received from the client computing system; detecting, by the table manager, that the second column includes a subtotal calculation of a third column of the spreadsheet structure; and rewriting, by the table manager, the formula by replacing the reference to the second column with the subtotal calculation of the third column.

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: Workbook template sharing including receiving, by a table manager, a request to create a workbook from a workbook template using data in a cloud-based data warehouse, wherein the workbook template comprises a fingerprint describing an input schema hierarchy; determining, by the table manager, data pathways for the workbook by matching the fingerprint of the workbook template to a schema hierarchy of the data in the cloud-based data warehouse; and generating, by the table manager, the workbook according to the workbook template using the data pathways.

Abstract: Live editing a workbook with multiple clients including receiving, by a table manager, a request by a first client on a first client computing system to edit a workbook in an exploration mode that displays edits to the workbook without altering the workbook; receiving, by the table manager from the first client, an exploration edit targeting the exploration of the workbook; applying, by the table manager, the exploration edit to the exploration of the workbook; and presenting, by the table manager to a second client on a second client computing system, the application of the exploration edit to the exploration of the workbook.

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: Managing access to usage data on a cloud-based data warehouse including storing, by a table manager, usage data for a plurality of organizations in a table within a cloud-base data warehouse; receiving, by the table manager from a first client, a request for usage data for a first organization of the plurality of organizations, wherein the first client is associated with the first organization; and retrieving, by the table manager, the requested usage data for the first organization using a parameterized connection to the cloud-based data warehouse, wherein the parameterized connection provides access to the usage data for the first organization and blocks access to usage data for each other organization in the plurality of organizations.

Abstract: Generating a database query using a dimensional hierarchy within a graphical user interface including displaying a data set within a spreadsheet structure, wherein the data set comprises a plurality of columns; displaying a list structure comprising a first level and a second level; receiving a selection of a first column of the plurality of columns as a first key for the first level in the list structure; receiving a selection of a second column of the plurality of columns as a second key for the second level in the list structure; and in response to receiving the selection of the first column and receiving the selection of the second column and based on an order of the first key and the second key in the list structure, generating the database query defining a hierarchical relationship between the first column and the second column.