A method, an apparatus, and an electronic device for processing a data transaction are disclosed. The method includes receiving an application request from a client to perform a data operation in a target data partition; creating a corresponding data transaction according to the application request, and assigning a transaction identifier to the data transaction; returning the transaction identifier that is assigned to the data transaction to the client; performing the data operation based on the target data partition according to the data operation carrying the transaction identifier and sent by the client; and processing the data transaction according to a transaction instruction sent by the client. The method enables a data operation to implement transactional attributes, and to satisfy a transactional nature of the data operation. Moreover, the service logic of data transactions implemented by the method is relatively simple, thus ensuring that data services have a good transactional nature.

A method, system and computer-usable medium are disclosed for computing file system management. A corpus of content is processed to extract metadata associated with folders and files referenced by a directory structure. Natural Language Processing (NLP) operations are then performed on the corpus to generate concept and entity data associated with each folder and file, followed by performing Natural Language (NL) classification operations to generate intent classification data, which in turn is processed. to determine ranked, dominant intents for each folder and file. The corpus content, extracted metadata, concept and entity data, and ranked dominant intents are then processed to generate indexed content and term data. Application context data associated with an interaction is collected and processed to determine a user intent, which is then processed with the indexed content and term data to identify a corresponding folder and file, which in turn are provided to the user.

This disclosure describes techniques performing data object renaming operations. This disclosure describes techniques for performing data object renaming operations in a manner that may reduce file system corruption and data loss. The techniques described herein may include selectively journaling particular types of renaming operations. Selectively journaling particular types of renaming operations may mitigate potential data loss and file system corruption.

The present technology relates to an image processing apparatus and a file generation apparatus that make it possible to appropriately reproduce a BV content. An image processing apparatus includes: a file acquisition unit that acquires a file having a management region where information for management of a 3D object content is stored and a data region where a track in which streams included in the 3D object content are stored is stored, group information for selection, from a plurality of the streams included in the 3D object content, of the stream appropriate for reproduction of the 3D object content being stored in the management region; and a file processor that selects a plurality of the streams to be used for reproduction of the 3D object content on the basis of the group information. The present technology is applicable to a client apparatus.

The present technology relates to an image processing apparatus and a file generation apparatus that make it possible to appropriately reproduce a BV content. An image processing apparatus includes: a file acquisition unit that acquires a file having a management region where information for management of a 3D object content is stored and a data region where a track in which streams included in the 3D object content are stored is stored, group information for selection, from a plurality of the streams included in the 3D object content, of the stream appropriate for reproduction of the 3D object content being stored in the management region; and a file processor that selects a plurality of the streams to be used for reproduction of the 3D object content on the basis of the group information. The present technology is applicable to a client apparatus.

A memory system connected to a host computer generating input information, includes a storage configured to store application program executed by the host computer, a contents database relating various contents candidate information used by the host computer with either of plural adjustment candidate identification information, and input information inputted from the host computer, circuitry configured to infer, by executing inference by an artificial intelligence algorithm, specific adjustment candidate identification information as adjustment identification information from the plurality of adjustment candidate identification information according to the input information and select specific contents candidate information as adjustment contents information from the contents database using the adjustment identification information and an interface configured to output the adjustment contents information to the host computer.

Disclosed examples include accessing sensor data; recognizing, by executing an instruction with programmable circuitry, a feature in the sensor data based on a convolutional neural network; and transitioning, by executing an instruction with the programmable circuitry, a mobile device between at least two of motion feature detection, audio feature detection, or camera feature detection after the feature is recognized in the sensor data, the mobile device to operate at a different level of power consumption after the transition than before the transition.

A database management engine provides a user interface that allows users to access and modify employee information in a database. The database includes entries for employees, and each database entry includes identifying information about the associated employee. A user can request to modify data within database entries, for instance in order to update information associated with an employee. Responsive to the request, the database management engine identifies liabilities associated with the database modification stemming from associated tax laws. Based on the identified tax liabilities, the engine computes the aggregate tax liability owed by the employer and/or employee. Before modifying a database entry, the engine modifies the user interface to include interface elements detailing the computed aggregate tax liability. The user explicitly can be required to confirm the database modification in view of the aggregate tax liability. Once a user gives explicit confirmation, the engine modifies the database entry.

A central database system allows users to access and use data stored in a relational database. In order to ensure that the stored data is not detrimentally impacted and that the security of the stored data is maintained, the central database system generates a sanitized copy of the database. The central database system stores and accesses annotation files associated with data tables of the database and a schema identifying the structure of the database. Based on the schema, for each data table, the central database system validates the annotation file. A copy of the data table is created and sanitized corresponding to the annotation file. The sanitized copies of the data tables are used to generate a sanitized copy of the database. The sanitized copy of the database may then be accessed and used by users of the central database system without impacting the relational database.

A central database system allows users to access and use data stored in a relational database. In order to ensure that the stored data is not detrimentally impacted and that the security of the stored data is maintained, the central database system generates a sanitized copy of the database. The central database system stores and accesses annotation files associated with data tables of the database and a schema identifying the structure of the database. Based on the schema, for each data table, the central database system validates the annotation file. A copy of the data table is created and sanitized corresponding to the annotation file. The sanitized copies of the data tables are used to generate a sanitized copy of the database. The sanitized copy of the database may then be accessed and used by users of the central database system without impacting the relational database.