Systems, devices, computer-implemented methods, and tangible non-transitory computer readable media for performing multilayered generation and processing of computer instructions are provided. For example, a computing device may receive a request with instructions in a first computer language, parse the instructions in the first computer language, analyze the instructions in the first computer language in view of information describing structure of a first application, generate instructions in a second computer language different from the first computer language where the instructions in the second computer language are generated based on the instructions in the first computer language and the information describing structure of the first application, obtain a result from a second application where the result comprises information based on the instructions in the second computing language, and provide the result in response to the request comprising the instructions in the first computer language.

Some embodiments involve a method of connecting, by a computerized system, to a database at a source. The computerized system queries the database for data associated with a characteristic and identifies the data. The computerized system organizes the data into a batch based on business-defined rules. The batch condenses a plurality of rows of data in the database associated with the characteristic into one row of data associated with the characteristic. The computerized system transforms the batch into a packet having a text or binary ready-to-consume format and publishes the packet as a ready-to-consume business object.

The invention relates to a platform and a method of connecting a blockchain engine to a traditional database. The platform according to the invention is implemented in the form of a network of nodes, said network of nodes being divided into at least two subnets: a security subnet and a data subnet, all nodes in the security subnet containing information on security keys user licenses, operating licenses, access policies, and other information related to the licensing, authentication, and authorization mechanism of users accessing the platform, and where nodes in at least one data subnet comprise a software component that uses a network computer, an API communication interface that allows interaction with the computer network and retrieval of information to be saved in the storage system, a GraphQL data query interface, a data processing engine, a blockchain engine, a connection interface between the data processing and blockchain engine, and a database.

Embodiments implement a tool for interrogating heterogeneous computing systems. Environment variables of a computing device including at least an operating system can be detected. Script commands configured using the retrieved environment variables can be built, where the built script commands are customized based on the detected operating system. Structured query level commands configured to retrieve metadata about enterprise elements associated with the computing device can be built. The SQL commands and script commands can be sequentially executed on the computing device, where the execution of the SQL commands and script commands is customized to the computing device such that device specific database execution parameters and application execution parameters are returned. A structured language document organized according to the returned database execution parameters and application execution parameters can be generated.

Embodiments provide search answer extensibility by using either one or more primary applications that is executing or residing on, or is accessible to, a first computing device that receives a natural language (NL) query and/or one or more assigned applications that is executing or residing on the first computing device or on a different second computing device to process the NL query and provide a response to the NL query.

A code generator platform may receive source metadata and a target data model. The code generator platform may determine a parameter, of the target data model, that is associated with the attribute. The code generator platform may map, based on the attribute and the source metadata, the data to the parameter of the target data model. The code generator platform may generate, based on mapping the data to the parameter, data transformation code associated with the data and the target data model, wherein the data transformation code, when executed, generates target data that corresponds to the data according to the target data model. The code generator platform may perform an action associated with the data transformation code to permit the data transformation code to be executed in order to update a target database with the target data.

A file access system for user defined functions (UDFs) can be implemented on a distributed database system. The system can store UDF signatures and interfaces (e.g., classes, sub-classes) that can be called by other users. Upon a UDF being called, one or more interface objects (e.g., InputStream) can be created and requests transferred to a execution node via a network channel. The execution node can implement multiple threads that are authorized and download file data from a staging location (e.g., internal stage, external stage) concurrently.

A method for database management is disclosed. The method may include receiving an algorithm from a user. Based on the algorithm, a hierarchical dataflow graph (hDFG) may be generated. The method may further include generating an architecture for a chip based on the hDFG. The architecture for a chip may retrieve a data table from a database. The data table may be associated with the architecture for a chip. Finally, the algorithm may be executed against the data table, such that an action included in the algorithm is performed.

A function is decomposed into a plurality of function shares. The function returns a Boolean result based on whether an input y satisfies a query on a data set. The function shares hide the function from non-collaborating entities that separately execute the function shares. Each of the functions shares are sent to one of a plurality of servers having a same data set. The function shares are executed on the data set at the servers to obtain a respective plurality of shares. A conditional disclosure of secrets operation is simulated on the shares and the input y. The conditional disclosure of secrets operation uses a secret known to at least one of the servers, and further uses a source of randomness shared between the servers. A Boolean value corresponding to the Boolean result is returned based on the conditional disclosure of secrets operation returning the secret.

A method for database management that includes receiving an algorithm from a user. Based on the algorithm, a hierarchical dataflow graph (hDFG) may be generated. The method may further include generating an architecture for a chip based on the hDFG. The architecture for a chip may retrieve a data table from a database. The data table may be associated with the architecture for a chip. Finally, the algorithm may be executed against the data table, such that an action included in the algorithm is performed.