Abstract: Systems and methods for precomputing data and storing cache objects corresponding to the precomputed data are described. A system creates a new cache object when a user interacts with the system. The system precomputes formulas in the newly created cache object by replacing the formulas with corresponding calculated values. The system precomputes the formulas in the background (i.e., the user is not presented with the precomputed values while the user is manipulating the data). The system may persistently store a precomputed version cache object in a dedicated version cache storage for later use. If updates are performed to the structure and/or values of a version represented in a precomputed version cache object, effected parts of the version cache object are invalidated by replacing calculated values with the underlying formulas.

Abstract: A method and system for annotating attributes for use in responding to queries and using the annotated attributes. In one aspect, a dataset is annotated with attributes in predefined categories using a processor. Also using the processor, question templates are provided based on attributes. Each of the plurality of question templates corresponds to at least one query for the dataset. In another aspect, the method and system include receiving a question including a question template selected from predetermined question templates. In this aspect, the method and system also include mapping, using the processor, the question to at least one attribute of the plurality of attributes in the plurality of predefined categories and to at least one pattern for the at least one attribute.

Abstract: A system comprises an interface configured to receive an identifier, a processor configured to determine a grouping associated with the identifier, wherein the grouping is determined using a first clustering, wherein the first clustering is based at least in part on a language processing system, determine a sub-grouping of the grouping associated with the identifier, wherein the sub-grouping is determined using a second clustering, determine a final identifier based at least in part on the identifier and the sub-grouping, determine a resource based at least in part on the final identifier, and store the final identifier associated with the resource, and a memory coupled to the processor and configured to provide the processor with instructions.

Abstract: Structured access to volunteered private data disclosed. Access can be based on security and privacy constraint information (SPCI) that can be selected by the party volunteering the private data. The volunteered data can be stored in a protected portion of a public network. The SPCI can be correlated to the volunteered data. In response to receiving a request for access to the volunteered data, an attribute of the request can be determined to satisfy one or more rules related to the SPCI prior to facilitating access to a version of a portion of the volunteered data. The version of the portion of the volunteered data can be a redaction of the portion of the volunteered data. The version of the portion of the volunteered data can be aggregated with other portions of other volunteered data determined to satisfy corresponding SPCI related rules.

Abstract: Multidimensional databases are well-suited for viewing data at different levels of detail. Graph databases are well-suited for modeling data sets with complex relationships. A novel platform for analysis and planning is enabled by linking multidimensional and graph databases. Graphs are data structures stored in graph databases. Graphs use nodes and edges to model data elements, some of which are derived. A graph is traversed to derive new data elements. To perform analysis on the graph data elements, graph traversal paths are stored as tuples in a fact table. This fact table is in turn loaded into the multidimensional database by mapping the fact table's attribute columns to dimensions of the multidimensional database.

Abstract: A system for providing an application includes an interface and a processor. The interface is configured to receive an indication to provide an application to a device. The processor is configured to provide the application to the device. The application is configured to: receive a request for a list of valid credentials; determine a list of stored credentials; provide the list of stored credentials to a database system; receive an indication of revoked credentials from the database system; and determine the list of valid credentials based at least in part on the list of stored credentials and the revoked credentials.

Abstract: A system for triggering based on analytics comprises a storage device and a processor. The storage device is configured to store customer adoption data. A processor is configured to receive the customer adoption data; determine an under-used product feature based at least in part on the customer adoption data, wherein the customer adoption data is stored in the storage device; and determine and set a trigger for training the under-used product feature based at least in part on the customer adoption data.

Abstract: A system for assigning a workload to compute resources includes an interface and a processor. The interface is configured to receive a workload. The processor is configured to break the workload into a set of subproblems; and for a subproblem of the set of subproblems: determine whether the subproblem benefits from intersheet parallelism; determine whether the subproblem benefits from intrasheet parallelism; determine whether the subproblem benefits from directed acyclic graph (DAG) partitioning; and assign the subproblem, wherein assigning the subproblem utilizes optimization when appropriate based at least in part on benefits from the intersheet parallelism, the intrasheet parallelism, and the DAG partitioning.

Abstract: A system for key storage and recovery includes an interface and a processor. The interface is configured to receive an indication to create a set of recovery encryption key shares. The processor is configured to receive a selection of one or more trusted entities from one or more categories; create a set of recovery encryption key shares based at least in part on one or more recovery encryption keys; and for a trusted entity of the trusted entities: 1) determine a trusted entity public key associated with the trusted entity; encrypt a recovery encryption key share of the set of recovery encryption key shares with the trusted entity public key to generate a trusted entity encrypted recovery encryption key share; and provide the trusted entity encrypted recovery encryption key share to the trusted entity.

Abstract: A system for analytics security includes processor(s) and a readable medium. The readable medium causes the system to perform operations comprising receiving a request for analytics data; determining the analytics data based on the request (the analytics data comprises result(s) of an analytic calculation performed on commingled data and the commingled data comprises tenant data shared by a tenant and other tenant data shared by other tenant(s)); determining security information associated with the analytics data (the security information associated with the analytics data is based on the commingled data used for determining the analytics data); determining permissions associated with the requestor based on the tenant; determining whether the requestor is credentialed based on the security information associated with the analytics data and the permissions associated with the requestor; and providing the analytics data to the requestor based on a determination that the requestor is credentialed.

Abstract: A system for authenticating a user at a relying party application using an authentication application and automatically redirecting to a target application includes a processor. The processor is configured to 1) make an API call that comprises (i) an authentication challenge that corresponds to an authentication request and (ii) a call back URL that is specified by a relying party application; 2) retrieve at least one of a target application link or a null value from a table; 3) authenticating the user based on an authentication challenge response to the at least one authentication challenge; and 4) invoking the target application link from the table to automatically redirect from the authentication application to the target application specified in the target application link.

Abstract: A system for discovering a task list includes an interface and a processor. The interface is configured to receive an indication of a start directory and a set of plugins, wherein the set of plugins is used to determine the task list associated with compiling, testing, packaging, and/or deploying a program. The processor is configured to determine a set of directories for discovering the task list based at least in part on the start directory; for each directory of the set of directories: for each plugin of the set of plugins: apply a selected plugin of the set of plugins to a selected directory of the set of directories to generate a set of tasks; add the set of tasks to the task list; and provide the task list.

Abstract: A system for outlier detection and removal comprises an interface and a processor. The interface is configured to receive a data set. The processor is configured to determine a cleaned data set by removing outliers, wherein determining the cleaned data set comprises determining a type of distribution, in response to the type of distribution being normal, determining the outliers using covariance estimation, in response to the type of distribution not being normal, determining the outliers using density based clustering, and determining the cleaned data set by removing the outliers from the data set, determine a coefficient of variation of the cleaned data set, determine whether the coefficient of variation is greater than a threshold coefficient of variation, and in response to the coefficient of variation being greater than the threshold coefficient of variation, determine a new cleaned data set by removing a new set of outliers from the cleaned data set.

Abstract: A system for automated cluster execution support includes and interface, a linking storage system, and a processor. The interface is configured to receive a first code segment in a first coding language; receive a second code segment in a second coding language; and receive a connector indication, wherein the connector indication indicates that intermediate state data that is output from the first code segment is used as input to the second code segment. The processor is configured to cause execution of the first code segment, wherein executing the first code segment includes executing an output method using the first coding language to store the intermediate state data in the linking storage system; and cause execution of the second code segment, wherein executing the second code segment includes executing an input method using the second coding language to read the intermediate state from the linking storage system.

Abstract: A system for blockchain-based authentication comprises an interface and a processor configured to (i) receive, by a first device, a command from a second device, where the first device is associated with a first trust certificate, (ii) receive a second trust certificate from the second device, (iii) communicate a cryptographic challenge using a public key of the second device to the second device, (iv) receive a response to the cryptographic challenge from the second device, (v) check whether the response matches with a predetermined correct response or not, and (vi) authenticate the second device and execute the commend received from the second device only if the response matches with the predetermined correct response.

Abstract: A system for ledger data includes a block repository, a metadata database, and a processor. The block repository stores verified secure ledger data in one or more blocks that are cryptographically linked. The metadata database stores metadata information for the one or more blocks in the block repository. The processor is configured to receive an indication to check data in a block and to mark the block as being verified in the metadata information associated with the block.

Abstract: A system for updating a hypercube includes an interface and a processor. The interface is configured to receive an indication to update a cell of the hypercube. The processor is configured to determine a primary dimension value associated with the cell; determine a group of dependencies based at least in part on the primary dimension value, wherein a dependency of the group of dependencies comprises one or more primary dimension values and a pattern; for the dependency of the group of dependencies, determine a set of source locations based at least in part on the one or more primary dimension values and the pattern; and mark the set of source locations as invalid.

Abstract: A system for a secure connection includes an interface and a processor. The interface is configured to receive a request from a user of a tenant to enable a connection for a specific internal network application or service to an external network destination. The processor is configured to determine whether the connection is enabled for the specific internal network application or service for the tenant; and in response to determining that the connection is enabled, providing a token required for the connection to the external network destination.

Abstract: A system for parsing units of measure for spreadsheet cell values includes a processor. The processor is to host a spreadsheet document; receive a cell value entered into a cell of the spreadsheet document; parse the cell value to determine whether the cell value includes at least a measure and a unit of measure; and associate a valid measure and a valid unit of measure with the cell in the event that the measure and the unit of measure are valid.

Abstract: A system for visual modification of data. The system comprising, an interface layer for displaying data and for receiving one or more visual inputs for modifying data; a data layer for storing data; and an analysis engine layer for connecting the interface layer and the data layer, wherein the analysis engine layer is configured to receive the one or more visual inputs from the graphical interface for modifying the graphical representation; modify the underlying data based on the visual inputs; modify a derived data based on the modified underlying data; and transfer the modified derived data to the interface layer for display.