Abstract:
The present disclosure includes techniques pertaining to computer implemented systems and methods for processing semi-structured data. In one embodiment, semi-structured data in a data source is analyzed and structural information about the data is generated. The semi-structured documents may comprise a plurality of fields having associated values. Documents may be analyzed to determine particular fields in the plurality of semi-structured documents. Statistics may be generated to determine, for example, a frequency that each particular field appears in the plurality of semi-structured documents. Particular fields and associated frequencies and other statistics may be stored in a memory, for example.
Abstract:
A system and method for simplifying data access between tiers in a multi-tier system is disclosed. In an embodiment, a method is provided for receiving a request for service from a browser at a generic data access object (GDAO) layer; generating, by use of a data processor, a single, shared, generic data transfer object (GDTO) at the GDAO layer; calling through to a database tier, the database tier providing database metadata; and using the database metadata to include result data in the GDTO and return the GDTO in response to the request.
Abstract:
A dataset and some user selected columns of the dataset are received by a statistical analysis module for analysis. The statistical analysis module generates a score for each unselected column of the dataset based on statistical analysis of the unselected columns and all or a subset of the selected columns. A ranking of the unselected columns is presented to the user for selection of one additional column of the dataset, after which the remaining unselected columns are re-ranked according to their associated scores and once again displayed to the user. The user may continue selecting from among the ranked columns until a threshold number of columns has been selected, at which point the user may deselect a selected column in order to continue selecting additional columns. A visualization suggestion application program interface then matches the selected columns with compatible visualization configurations and presents some of these visualizations to the user.
Abstract:
Methods, systems, and computer program products for visually representing and displaying data are described. The visual representation may be a data animation. A data query may be submitted, a time measurement for processing the query may be obtained, and a sample size of the query may be adjusted based on the time measurement and a frame refresh rate of a data animation. A data animation may be generated based on one or more results of the query.
Abstract:
A computer implemented system comprises one or more computer processors and a non-transitory computer-readable storage medium. The non-transitory computer-readable storage medium comprises instructions, that when executed, control the one or more computer processors to be configured for receiving a first input representative of associating the text object and the graphical representation, determining a relationship between the text object and the graphical representation, converting the text object to a control variable according to the relationship, and linking the control variable to the graphical representation, wherein the graphical representation is dynamically updated when a second input is received that modifies the control variable.
Abstract:
A system and method for managing business intelligence data is described. In some example embodiments, the system extracts data and metadata from a business intelligence file, generates a data bundle of the data and metadata, generates an application bundle based on the date bundle, and generates an interactive document using the data bundle and application bundle.
Abstract:
Example systems and methods of providing an application programming interface tracing mechanism are presented. In one example, an application programming interface for an application is provided, the interface including an interface object. A proxy object is created for the interlace object. At the proxy object, method calls from the application for the interface object are received, recorded, and passed to the interface object. An execution trace including the recorded method calls is generated.
Abstract:
Techniques for obtaining data from unstructured data for a structured data collection include receiving unstructured data that includes text; identifying an attribute associated with a structured data collection; obtaining at least one of historical data associated with the attribute or additional data associated with a user of the computing system; identifying one or more terms from the unstructured data as being associated with the attribute based on at least one of the historical data or the additional data; and storing the identified one or more terms in a data record of the unstructured data collection.
Abstract:
Described herein is a descriptive framework to facilitate data visualization. In accordance with one aspect of the framework, one or more module manifests are provided, wherein a module manifest describes a module that represents a particular component of a visualization. A chart manifest may be used to coordinate the one or more module manifests. A visualization may be rendered based on the chart manifest.
Abstract:
Techniques for data classification include matching one or more attributes of a commodity with one or more terms of a plurality of terms in a word matrix; generating, based on the matching, a vector for the commodity; and identifying, based on the vector, one or more classification regions that each define a classification of the commodity.