Abstract: Adding a column into a worksheet, including: receiving, via a spreadsheet interface comprising a first worksheet, a request to add a new column to the first worksheet, wherein the request includes a key that identifies a reference column in the first worksheet, a specification of a second worksheet that comprises a corresponding reference column related by the key, and a specification of a data column in the second worksheet, wherein each entry of the data column is associated with an entry of the corresponding reference column in the second worksheet, and entries to be included in the requested new column will be based on the entries of the data column; generating, based on the request, a database query; and receiving, from a database and in response to the database query, a query result comprising the new column to be added to the first worksheet.

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: A computer-implemented method includes tracking, by a computing device, user browsing activity of a first page having known elements; mapping, by the computing device, the user browsing activity to the known elements; storing, by the computing device, mapping information that maps the user browsing activity to the known elements; tracking, by the computing device, user browsing activity of a second page having unknown elements; identifying, by the computing device, the unknown elements based on the mapping information and the user browsing activity of the second page; and executing, by the computing device, one or more computer-based instructions based on the determining the unknown elements that were identified.

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

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: 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: 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: 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: 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: 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: 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: 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 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: 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.