An information processing apparatus includes a processor configured to: in compatible change of a first document to a second document in a second format, the first document being generated in a first format, the second format being different from the first format, when the first document contains incompatible data which is not compatible with the second format, convert the incompatible data to data compatible with the second format, and add the converted incompatible data to the second document; and embed link information for the converted incompatible data at a position, in the second document, corresponding to an original position, in the first document, of the incompatible data.

Provides a method for hashing structural data. According to this method, structural data that includes a plurality of keys and a plurality of values corresponding to respective keys is received. A plurality of key-value pairs can be parsed from the structural data, with each of the plurality of key-value pairs including a key and a value respectively corresponding to the key. A hash value of the plurality of key-value pairs is computed according to a predefined policy as a hash value of the structural data, wherein the predefined policy includes sorting the plurality of key-value pairs or processed key-value pairs.

A method may include identifying an identifier field included in a first datatype of a seed data sample associated with a source system. The identifier field may store a first value that enables a differentiation between different instances of the first datatype. A relationship field, which stores a second value that define a relationship between the first datatype and a second data type, may be identified. A synthetic data sample may be generated by populating the identifier field of the synthetic data sample with a synthetically generated value and the relationship field of the synthetic data sample with the second value. The synthetic data sample may be sent to a target system to enable a performance of a task at the target system. The synthetic data sample may supplement a volume and/or a diversity of the data that occurs organically at the source system.

In one implementation, a data transformation engine is employed to analyze an incoming JSON schema syntax and use a “best effort” model to convert a plurality of JSON schemas to other types of schemas such as an XML schema. The model is configured to be adaptable and dynamic in order to convert as much of the JSON as possible. In addition, the conversion tool is configured to transform schemas to other technologies and allow for conversion errors within one or more error thresholds. Further, the system may be distributed standalone with no dependencies to other implementations, such as BPM implementations.

Systems, methods, and other embodiments associated with self-transformation objects are described. In one embodiment, a method includes determining that a content object is to be rendered. The example method may also include evaluating attributes of a user to identify a content preference of the user. The example method may also include identifying a content transformation mapping that corresponds to the content preference. The example method may also include parsing the content object to identify a transformation script. The example method may also include executing the transformation script to parse the content object to identify elements that are tagged with a transformation tag. The example method may also include executing the transformation script to apply corresponding transformations from the content transformation mapping to the tagged elements. The example method may also include rendering the content object with the transformed elements.

A method and a system for extracting and formatting financial time-series data is provided. The method includes: receiving a first set of tabular data; segmenting the first set of tabular data into a plurality of cells; determining whether each respective cell is a header cell or a content cell; for each header cell, normalizing each of a time period and a metric associated therewith; for each content cell, determining one or more column header cells and one or more row header cells associated. therewith; and generating an output table based on a result thereof.

Disclosed herein are methods, systems, and processes to distribute and disperse search loads to optimize security event processing in cybersecurity computing environments. A search request that includes a domain specific language (DSL) query directed to a centralized search cluster by an event processing application is intercepted. The event processing application is inhibited from issuing the search request to the centralized search cluster if a structured or semi-structured document matches the DSL query.

Aspects of the disclosure relate to processing systems for performing just-in-time front end template generation using a logical DOM. A computing device may receive, from a web server host platform, an HTML page with a DOM structure. The computing device may parse the DOM structure to generate a logical DOM, which may include a key value store identifying dynamic elements to be updated based on data received from a data source different from the web server host platform. The computing device may receive, from a data source computer system, source data. The computing device may modify the logical DOM, based on the source data, by replacing the dynamic elements with corresponding values from the source data. This may produce a first updated real DOM. The computing device may render a first graphical user interface based on the first updated real DOM, and may display the first graphical user interface.

Disclosed herein are methods, systems, and processes to distribute and disperse search loads to optimize security event processing in cybersecurity computing environments. A search request that includes a domain specific language (DSL) query directed to a centralized search cluster by an event processing application is intercepted. The event processing application is inhibited from issuing the search request to the centralized search cluster if a structured or semi-structured document matches the DSL query.

An example system includes a processor to receive deltas corresponding to concurrently executed operations of a number of other replicas on an element of a delta-based conflict free replicated data type (CRDT) array of a distributed computing system. The processor is to modify, at the first replica, the element of the delta-based CRDT array based on the deltas using a dot store that maps dots to a dot store.