A metastructure for representing and manipulating or analyzing a data model is provided herein. A source representation of the first data model may be received. The source representation may include a representation of one or more structural components of the first data model, respectively having identifiers and types. One or more instances of a metastructure schema object datatype may be generated based on the one or more structural components of the source representation. Generating a given instance of the metastructure schema object datatype for a given structural component may include assigning a first identifier of the given structural component to the first data member of the given instance, determining a first type associated with the given structural component, and assigning the first type to the second data member of the given instance. The one or more instances of the metastructure schema object datatype may be stored in association.

A flexible, scalable, and fast query system for a distributed execution environment is provided. An example method includes receiving a plurality of processor summaries, each including a list of job digests, each job digest including a job identifier for a job running on a job processor and a payload portion. The method can also include, for each job digest, determining a location in a probabilistic payload data structure for the job digest and storing the payload portion and a fingerprint portion generated from a portion of a hash of the job identifier in an entry at the location as a job summary and responding to queries using the probabilistic payload data structure. Responding to a particular query may include identifying job properties corresponding to parameters of the particular query, updating job property statistics, and using the job property statistics to change the job properties represented in the payload portion.

Database servers may maintain a database according to a database schema. A database change management system can include a profile service configured to collect database profile information. A forecast service can be configured to use SQL parsing to generate change objects and generate a forecast report indicative of a prediction of a failure or success of an implementation of the set of changes.

Methods, systems, devices, and tangible non-transitory computer readable media for configuring and implementing application policies are provided. The disclosed technology can access application policy data associated with implementing an application policy. The application policy data can include rules associated with implementing the application policy by using organizational data associated with a plurality of applications that includes a set of extra-organizational applications that perform operations associated with a different set of extra-organizational applications. Based on the application policy data, organizational records of the organizational data that satisfy the one or more rules can be determined. The plurality of applications associated with the one or more organizational records that satisfy the one or more rules can then be accessed. Furthermore, based at least in part on the application policy and the one or more organizational records, the one or more operations associated with implementing the application policy can be performed.

Disclosed herein are system, method, and device embodiments for a data bridge adapter in a data integration platform that models any application programming interface as an entity-relationship model. This technique allows an individual using an integration platform to map and transform the entity-relationship model without having to create any custom code. The user may specify target parameters as part of an ETL process, and the entity relationship model may allow appropriate data and API calls to be generated to pass the data to the specified target. By creating an entity-relationship model from any API, the technique further supports versioning, schema change resolution, compatibility detection and other features. Furthermore, data visualization software may use the entity-relationship model to allow users to explore and analyze the data represented in the entity-relationship model.

In accordance with an embodiment, described herein is a system and method for providing extensibility in an analytic applications environment, including a semantic layer that enables the use of custom semantic extensions to extend a semantic data model (semantic model). In accordance with an embodiment, customizations to the out-of-the-box semantic model are performed using a layered approach, wherein the factory code for the semantic model remains intact, with changes/delta editable by the customer layered on top of that model, such that the changes can be patched/reversed if necessary.

A method, apparatus, and computer-readable medium are disclosed. The method may include receiving a request to merge a first unified profile with a second unified profile, the first and second unified profile each having a set of records grouped according to a set of rules. The method may include merging the first unified profile with the second unified profile to generate a merged unified profile including a merged set of records. The method may include generating an association between the second set of records and the first set of records. The method may include receiving a request to undo the merging. The method may include ingesting, based at least in part on the request to undo the merging, the merged set of records into the automated match process by applying the set of rules and excluding the generated association.

Systems and methods may generate or modify a pattern, to search text, utilizing a hierarchical structure. The system and method may receive instructions for generating or modifying the pattern. The system and methods may identify or generate a hierarchical structure containing one or more levels each of which includes one or more objects that store values. The system and method may define a pattern by assigning values to the hierarchical structure when the instructions are for generating the pattern; or may modify one or more values in the hierarchical structure when the instructions are for modifying the pattern. The system and method may receive pattern matching instructions. The system and method may identify, based on the pattern matching instructions and utilizing the hierarchical structure, one or more portions of the program that includes the generated or modified pattern and implement one or more pattern matching functions to provide results.

A computer-implemented method for performing application data consistency management among a plurality of computing devices within a communication network includes retrieving by a first device, application data from a second device. The application data includes an app ID and a first application version number of an app residing on the second device. A first database table is updated using an object type associated with the app ID and the first application version number. The object type identifies a database table schema of a data object used by the app and a plurality of data fields of the data object. Data stored by one or more of the plurality of data fields is synchronized with a third device based on a second application version number of the app residing on the third device and the first database table.

Enabling auto-completion of database commands includes receiving, at a database command execution device from a client device, a request to execute a database command where the request includes a first indicator of a first set of tokens of the database that is available at the client device; executing the database command; transmitting, from the database command execution device to the client device, a response to the request that includes a status of the execution of the database command and a second indicator of a second set of tokens of the database that is different from the first set of tokens; receiving, at the database command execution device and from the client device, an update-tokens request that includes the first indicator; and transmitting, from the database command execution device and to the client device, data indicative of differences between the second set of tokens and the first set of tokens.