An electronic device with a display and a fingerprint sensor displays a fingerprint enrollment interface and detects, on the fingerprint sensor, a plurality of finger gestures performed with a finger. The device collects fingerprint information from the plurality of finger gestures performed with the finger. After collecting the fingerprint information, the device determines whether the collected fingerprint information is sufficient to enroll a fingerprint of the finger. When the collected fingerprint information for the finger is sufficient to enroll the fingerprint of the finger, the device enrolls the fingerprint of the finger with the device. When the collected fingerprint information for the finger is not sufficient to enroll the fingerprint of the finger, the device displays a message in the fingerprint enrollment interface prompting a user to perform one or more additional finger gestures on the fingerprint sensor with the finger.

Device, method, and graphical user interface for manipulating user interfaces based on fingerprint sensor inputs

The present disclosure relates to making payments with a mobile device. In one example process, the mobile device receives and stores information for one or more payment accounts on the mobile device. The mobile device is used to make payments using the payment accounts. In some examples, authorization to proceed with a payment is performed before each purchase made by the user. The authorization process can include receiving a verification of the user, such as a fingerprint scan or passcode. In some examples, a payment account is selected from among available payment accounts. In some examples, an indication is displayed of a digital item associated with a purchased item. In some examples, a payment transaction is initiated with participants of an ongoing communication. In some examples, an application of a retailer is invoked based on the availability of the application. In some examples, a purchase recommendation is provided.

User interface for payments

Systems, methods, and non-transient machine-interpretable data representing executable instruction sets and/or other products for the processing of data for the secure creation, administration, manipulation, processing, and storage of electronic data useful in the processing of payment transactions and other secure data processes. In various aspects and embodiments the disclosure provides secure means for the authorization of sensitive and other data processes subject to controlled access. Such processes include, for example the creation, administration, authorization, virtualization, storage, and other manipulation or processing of electronic data representing characteristics of, instructions for, and information associated with consumer, business, and other payment accounts, and other forms of secure payment elements, such as payment tokens; and data useful in processing transactions using such accounts and elements. Information associated with particular payment means, such as accounts or payment tokens, can be stored, for example, in a data set, usually secure, sometimes referred to as a virtual or electronic wallet, or a secure payment token.

Virtualization and secure processing of data

Computer-implemented systems and methods are disclosed for constructing a parser that parses complex data. In some embodiments, a method is provided for receiving a parser definition as an input to a parser generator and generating a parser at least in part from the parser definition. In some embodiments, the generated parser comprises two or more handlers forming a processing pipeline. In some embodiments, the parser receives as input a first string into the processing pipeline. In some embodiments, the parser generates a second string by a first handler and inputs the second string regeneratively into the parsing pipeline, if the first string matches an expression specified for the first handler in the parser definition.

Method and system for generating a parser and parsing complex data

A scheduler manages execution of a plurality of data-collection jobs, assigns individual jobs to specific forwarders in a set of forwarders, and generates and transmits tokens (e.g., pairs of data-collection tasks and target sources) to assigned forwarders. The forwarder uses the tokens, along with stored information applicable across jobs, to collect data from the target source and forward it onto an indexer for processing. For example, the indexer can then break a data stream into discrete events, extract a timestamp from each event and index (e.g., store) the event based on the timestamp. The scheduler can monitor forwarders' job performance, such that it can use the performance to influence subsequent job assignments. Thus, data-collection jobs can be efficiently assigned to and executed by a group of forwarders, where the group can potentially be diverse and dynamic in size.

Dynamic scheduling of tasks for collecting and processing data from external sources

Data is published by publishers to an information service configured to receive data sets and allow consumers to consume the data sets via queries. Structural information of the data sets (e.g., column information) is presented to the publishers to select which information of the data sets can be a search parameter and which information can be returned in query results. Query interfaces are automatically created based on the selections by the publisher, and the back end databases are optimized for such query interfaces, e.g., creation of indexes based on the search parameters or query results selected by the publisher. A query aggregator can automatically combine a given query interface with other query interfaces to form more complicated (but still permitted) queries based on the intersection of permissions for the given query interface and the other query interfaces.

Query model over information as a networked service

Tracking lineage of data. A method may be practiced in a network computing environment including a plurality of interconnected systems where data is shared between the systems. A method includes accessing a dataset. The dataset is associated with lineage metadata. The lineage metadata includes data indicating the original source of the data, one or more intermediary entities that have performed operations on the dataset, and the nature of operations performed on the dataset. A first entity performs an operation on the dataset. As a result of performing a first operation on the dataset, the method includes updating the lineage metadata to indicate that the first entity performed the operation on the dataset. The method further includes providing functionality for determining if the lineage metadata has been compromised in that the lineage metadata has been at least one of removed from association with the dataset, is corrupted, or is incomplete.

Data lineage across multiple marketplaces

Embodiments of the invention provide a composite subscription service that combines one or more applications and one or more data sets into a single package. The applications and data sets in the package are treated as a single entity for the end-users. The end-user receives a single bill for the composite solution and may buy and cancel the composite solution without addressing the individual components. Publishers of the individual components define how the components may be used and how the components participate in the revenue sharing. Each component may receive a share of revenue based on usage events such as time, transactions, or resource usage. Publishers also define license agreement terms for each component. A composite end-user license agreement (EULA) is created for the composite subscription based upon the license terms for each component.

Marketplace for composite application and data solutions

Brokering requests between a user and a content provider. Methods include receiving, at the middleware system, a request for data from a user that is formatted in a first request format and requests data from a content provider. The request is translated to a second request format that is compatible with the content provider and sent to the content provider. A response is received from the content provider that includes hierarchically-structured content. The hierarchically-structured content is converted into tabular content by performing first queries on the hierarchically-structured content to identify repeating nodes, and mapping the repeating nodes to rows in the tabular format, and by performing second queries on the hierarchically-structured content to identify individual columns in the tabular format.

Configuration based approach to unify web services

Various aspects for scaling an availability of information are disclosed. In one aspect, a response performance associated with responding to data consumption requests is monitored. A characterization of the response performance is ascertained, and a scaling of resources is facilitated based on the characterization. In another aspect, a data consumption status indicative of data consumed is ascertained. Here, a scalability interface is provided, which displays aspects of the status, and receives an input from a content provider. An allocation of resources is then modified in response to the input. In yet another aspect, a response performance associated with responding to data consumption requests is monitored. An application programming interface (API) call is generated based on a characterization of the response performance, and transmitted to a content provider. An API response is then received from the content provider indicating whether a scaling of resources for hosting the data was performed.

Availability management for reference data services

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