Visual distributed data framework for analysis and visualization of datasets

a distributed data and dataset technology, applied in visual data mining, web data retrieval, instruments, etc., can solve the problems of not allowing users to interact with the chart, not allowing users to modify the chart or perform analysis, and the data is often complex

Inactive Publication Date: 2020-12-31
ARIMO LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The representation of the data stored in these systems is often complex.
However, these charts are typically static charts that do not allow users to interact with the chart.
However conventional techniques do not allow users to modify the charts or to perform analysis that is different from the analysis presented by the static chart.

Method used

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  • Visual distributed data framework for analysis and visualization of datasets
  • Visual distributed data framework for analysis and visualization of datasets
  • Visual distributed data framework for analysis and visualization of datasets

Examples

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Embodiment Construction

[0031]A data analysis system allows users to perform analysis of data sets, for example, data generated by an enterprise. In an embodiment, the data analysis system is a big data analysis system that performs analysis of big data. Enterprises typically generate large amount of data via various mechanisms, for example, logs of various applications and operating systems executing on computers of the enterprise, data manually entered by operators, data received from third party applications, vendors and so on. Often data generated by large enterprises or by large distributed systems is so large and complex that traditional data processing applications such as traditional databases, spreadsheet applications, and so on are inadequate for processing the data. The capacities of conventional data processing systems keep increasing every year. Accordingly, the data that is considered big data at some point in time may not be big data at a later point in time. As a result, the threshold size ...

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Abstract

A system represents data as visual distributed data frames (VDDFs) that comprise a dataset, metadata describing the data, and metadata describing visualization of the dataset. A VDDF may be extracted from charts displayed in markup language documents. A VDDF may be generated from different data sources including big data analysis systems. A VDDF workspace allows interaction with multiple VDDF objects extracted from multiple data sources and stored locally within the storage of the device. The VDDF workspace allows the user to interact with the VDDF objects, for example, by inspecting the metadata, modifying the data, adding new columns, changing the visualization, joining data from multiple charts, and sharing the VDDF objects with other documents. The processing of data of a VDDF is performed locally within a computing device, for example, in a client device.

Description

CROSS REFERENCE TO RELATED APPLICATIONS[0001]This application is a continuation of U.S. patent application Ser. No. 15 / 465,531, filed on Mar. 21, 2017, allowed, which claims the benefit of U.S. Provisional Application Ser. No. 62 / 314,381, filed on Mar. 28, 2016, all of these applications are incorporated by reference in their entirety for all purposes.FIELD OF ART[0002]The disclosure relates querying and analyzing datasets in general and in particular to storing and querying data represented as charts in documents, for example, markup language documents.DESCRIPTION OF THE RELATED ART[0003]Enterprises produce large amount of data based on their daily activities. This data is stored in a distributed fashion among a large number of computer systems. For example, large amount of information is stored as logs of various systems of the enterprise. Typically, this information may be available in different formats as unstructured as well as structured data. The representation of the data st...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G06F16/248G06F16/28G06F16/2453G06F16/80
CPCG06F16/248G06F16/80G06F16/282G06F16/24544G06F16/26G06F16/972
Inventor NGUYEN, CHRISTOPHERTRINH, AHN H.NGUYEN, BAOCHEW, SELENE
Owner ARIMO LLC
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