A search and data analysis collaboration system is described. The search and data analysis collaboration system enables users to search for and process stored data, and further includes a home page component that can help guide users embarking on data analyses; a discovery component that enables users to discover what data is available for search and analysis; a search component that enables users to efficiently search accessible data and to iterate on search queries and corresponding results; a workbooks component that enables users to create aggregated collections of data analysis artifacts; and an actions component that enables users to configure various actions to be performed in response to analyses.

Techniques are described that enable an IT and security operations application to prioritize the processing of selected events for a defined period of time. Data is obtained reflecting activity within an IT environment, wherein the data includes a plurality of events each representing an occurrence of activity within the IT environment. A severity level is assigned to each event of the plurality of events, where the events are processed by the IT and security operations application in an order that is based at least in part on the severity level assigned to each event. Input is received identifying at least one event of the plurality of events for expedited processing to obtain a set of expedited events, and the identified events are processed by the IT and security operations application before processing events that are not in the set of expedited events.

A database platform authenticates a system user for access via an application to a database that is associated with a customer account of the database platform. The system user is a first object in a first account-level namespace of the customer account, and the first account-level namespace is distinct from a default account-level namespace of the customer account. The database platform sends, as the system user, a query to the database via the application. The database platform receives, as the system user, results of the query from the database, and stores, as the system user, the results of the query in a first-namespace stage, which is a second object in the first account-level namespace.

A method comprising receiving by an arbitrary query engine a user request to perform a query associated with user data including first data and second data; partitioning the query into first and second sub-queries; providing the first sub-query to a first service provider interface (SPI) integrated into a first service configured to operate on the first data in a first datastore, the first SPI including a common interface component configured based on a uniform access specification to facilitate external communication between the arbitrary query engine and the first SPI, and the first SPI including a first service interface component configured to transform between the uniform access specification and a first service data specification and to facilitate internal data management; obtaining from the first datastore the first data formatted according to the first service data specification; transforming the first data; and providing the transformed first data to the arbitrary query engine.

Techniques and technologies for providing a fully managed datastore for clients to securely store, discover, retrieve, remove, and share curated data, or features, to develop machine learning (ML) models in an efficient manner. The feature store service may provide clients with the ability to create and store feature groups that include features and associated metadata providing clients with a quick understanding of features so that they may determine which features are suitable for training ML models and/or use with ML models. The feature store service may provide first a data store configured to store the most recent values associated with a feature group, such that client can access the features and utilize ML models to make real-time predictions with low latency and high throughput, and a second datastore configured to store historical values associated with a feature group, such that a client can utilize the features to train ML models.

A front end logic instance of a network function in a stateless architecture of a telecommunications network. The logic instance comprises a logic performer configured to perform network function logic to carry out at least part of a network function of the telecommunications network, the logic performer being configured to control a transmitter and receiver for transmission and reception of data with a backend database during performance of the network function logic. The logic instance comprises a timer subscriber configured to control the transmitter to transmit a request to the backend database to be notified about a timer event relating to a timer run on the backend database, the request comprising data indicating the timer event. The receiver is further configured to receive a notification that the timer event has occurred.

An interactive planning system is provided to allow a user to create and manage plans in online, offline, and intermittent connectivity environments. In some embodiments, the interactive planning system comprises a mobile, web-based application with an in-browser database configured to allow the user to create and manage plans in an offline environment and synchronize the plan when online connectivity is restored. In some embodiments, the interactive planning system comprises a fitness planning system configured to allow users to create and manage physical fitness plans in online, offline, and intermittent connectivity environments; to provide instructors the ability to enter fitness plan attributes, detail focus areas and timeframe for fitness plans; to provide instructors the ability to highlight macro-level phases to inform plan analytics; and to provide an ability to share programs to groups.

A networked database management system (DBMS) is disclosed. The DBMS may include a computer accessible data storage including a database, an access control module, a communication module, and a matching module. The database may be remotely located from a plurality of user nodes and a plurality of venue nodes. The remote database may include a plurality of records, wherein the records comprise: user node data, venue node data, and transaction data. The communication module may be in data communication with the data storage and may be configured to receive user node data and venue node data for storage in the database and query requests to retrieve user node data and venue node data from the database.

The present disclosure provides a database-based management method, platform, electronic device and storage medium, which relates to the technical field of databases and may be used for a cloud computing scenario. A specific implementation solution is as follows: monitoring a plurality of nodes through which an application accesses a corresponding database cluster based on pre-built management information of the corresponding database cluster of the application; when an abnormal node appears in the plurality of nodes, sending a node creation request carrying information of the abnormal node to a task management platform, to create an alternative node with the same function to replace the abnormal node; receiving information of the created alternative node returned from the task management platform; updating the management information of the database cluster of the application based on the information of the alternative node and the information of the abnormal node. In the present disclosure, only one set of database management platform is needed no matter whether the architectures of database clusters corresponding to the applications are the same. The above solution can be used to manage all applications simultaneously and effectively improve the management efficiency of the databases.

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.