Methods and systems described herein are directed resolving object dependencies in a data center. A trie data structure that represents network paths of objects utilized by a selected source object is constructed. The trie data structure comprises nodes linked by edges. Each node represents an edge identification (“ID”) of source objects and destination objects of one or more network paths of objects utilized by the selected source object in a user-defined time interval. The trie data structure is traversed to resolve the different versions of source objects and destination objects utilized by the selected source object in subintervals of the time interval. A graph of the objects and destination objects utilized by the selected source object in the subintervals is generated and used to identify source objects and destination objects utilized by the selected source object during a performance problem of the selected source object.

Methods, computer program products, and systems are presented. The methods include, for instance: obtaining domain data sources on a monolith database operating in a subject domain. Entities and relations of the monolith database are identified. By decomposing the entities of the monolith database for key entities in the subject domain, entities for a distributed database that is functionally equivalent to the monolith database are identified. Transactions performed on the monolith database and the entities of the distributed database involved therein are identified and the transactions are decomposed for the distributed database. Silhouette clustering on the distributed database regarding aspects of performance, scalability, and availability that improves the aspects of the distributed database over the monolith database is performed and the distributed database is checked for eventual consistency amongst the distributed database and one or more replicas of the distributed database before deployed to replace the monolith database.

Embodiments provide for intelligent auto filing of documents to enterprise content management (ECM) system workspaces. Embodiments may include maintaining a database of ECM information including a plurality of enterprise workspaces having attributes; based on the ECM information, generating a knowledge graph comprising nodes for enterprise workspaces and edges for relationships between enterprise workspaces; receiving a document for filing in one of the enterprise workspaces; detecting a plurality of indicators in the document text and evaluating the indicators to generate a subset of strong indicators in the plurality of indicators; querying the knowledge graph based on the strong indicators to generate a set of candidate enterprise workspaces; comparing the set of candidate enterprise workspace attributes to the strong indicators to determine a score of each candidate enterprise workspace; and based on said scores, linking and storing the document to one of the candidate enterprise workspaces.

The present disclosure provides a method for interconnecting a data lake and a relational database, including the following steps: S1: adding a data source class of a relational database to a data lake; S2: matching and using, by the data lake, a data source class of the relational database; and S3: determining and loading a corresponding driver according to the data source class, so as to connect the corresponding relational database. By cascading a data source registering configuration file, a relational database configuration file and a driver package catalog in a parameter passing method, when the data lake is started, a specific database to be used is designated unnecessarily, but a corresponding database is used directly. The configuration file is also traversed unnecessarily, but the user acquires configuration information as required in the parameter passing method.

An information processing device that includes: a processor configured to: receive a transmission frame containing vehicle information; disassemble the transmission frame into signals; and store a value of each signal in an array pre-prepared by the signal and an ID of the transmission frame according to a reception sequence of the signals.

Systems and methods are provided for managing organizational or corporate structures, including the employee roles or activities administered by human resources. A portion of the role datasets received within human resource records may be used to generate role tokens comprising unique datasets that have been truncated and deduped. Such tokens may be extracted based on assigned prioritization scores, and further assigned training labels representing categorical levels. Predictive labels may be assigned to a remaining portion of the extracted tokens via a logistic regression classifier, and a model organizational dataset may be generated based on the assigned training labels and the assigned predictive labels. The prediction certainty of the role tokens in the model organizational dataset may be used to map the identified role tokens to the roles represented in the human resource records.

Embodiments relate to metadata-based generic parsing of an incoming data object to transform it for different purposes, such as conversion into a format more suitable for a specific storage type. The received data object comprises members organized according to a structure, each member containing data. The object's structure and the member's type are defined by the associated metadata. The metadata is referenced by parsing logic to generate a schema representing the structure of the data object in a different format (such as an ER table schema). The schema is then stored. When data is received, the metadata is referenced to parse the corresponding object's data accordingly and for ingestion into the generated schema and storage.

A method for transforming a statement into at least one hierarchical data space operation may include analyzing the statement to produce at least one transformed statement. The method may further include selecting at least one element of the transformed statement. The method may further include determining at least one column for the at least one element. The method may further include generating at least one hierarchical data space operation for the at least one element. The method may further include extracting at least one value from the at least one element for the at least one column. The method may further include determining at least one first logical hierarchical data space for the at least one hierarchical data space operation. The method may further include generating at least one first hierarchical path identifier for the at least one value that preserves the hierarchy of its first hierarchical data space, wherein each value corresponds to at least one subdivision of its first hierarchical data space. The method may further include associating the at least one first hierarchical path identifier with the at least one hierarchical data space operation.

Systems and methods for a relationship-based search in a computing environment are provided. An example method includes providing a graph database. The graph database includes nodes representing workloads of the computing environment and edges representing relationships between the nodes. The method also includes enriching the graph database by associating the nodes with metadata associated with the nodes and the relationships. The method also includes receiving a user query including data associated with at least one of the metadata and the relationships. The method also includes determining, based on the user query, a subset of the nodes in the graph database and a subset of relationships between the nodes in the subset of the nodes. The method also includes displaying, via a graphical user interface, a graphical representation of the subset of the nodes and relationships between the nodes in the subset of the nodes.

Systems and methods are presented herein for recording portions of a media asset relevant to recording criteria. A media application receives input indicating the recording criteria and identifying a first keyword. The media application accesses a data structure to identify a first node associated with the first keyword. The data structure includes the first node and a plurality of nodes connected to the first node via a plurality of paths. The media application receiving audio component data for a portion of the media asset extracts a term from the audio component data, and identifies a second node in the data structure that is associated with the extracted term. The media application calculates a path score for the portion of the media asset based on a path size in the data structure between the first node and the second node. When the score is high enough, the portion of the media asset is recorded.