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: 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: 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: 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.

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: 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: 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 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: 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: 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.