DATA ERA A COMPARATIVE REVIEW OF STATE-OF-THE-ART COMMERCIAL - - PowerPoint PPT Presentation

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Apr 15, 2023 316 likes •597 views

VISUAL ANALYTICS FOR THE BIG DATA ERA A COMPARATIVE REVIEW OF STATE-OF-THE-ART COMMERCIAL SYSTEMS Leishi Zhang , Andreas Stoffel, Michael Behrisch, Sebastian Mittelstdt, Tobias Schreck, Daniel Keim ( University of Konstanz, Germany) Outline

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VISUAL ANALYTICS FOR THE BIG DATA ERA – A COMPARATIVE REVIEW OF STATE-OF-THE-ART COMMERCIAL SYSTEMS

Leishi Zhang, Andreas Stoffel, Michael Behrisch, Sebastian Mittelstädt,

Tobias Schreck, Daniel Keim (University of Konstanz, Germany)

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Outline

 Motivation  Survey Design  Results  Summary of Key Findings  Conclusions

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Outline

 Motivation  Survey Design  Survey Result  Summary of Key Findings  Conclusions

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Motivation

 Big Data Era  A survey of VA systems 

provide overview of the state-of-the-art



stimulate innovative ideas



avoid redundant effort

 What is available 

survey of open source tools



survey of BI tools

 What is missing  comparison of commercial VA tools

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Our Goal

 Complementing existing surveys  An encompassing survey of commercial VA systems  functional comparison  benchmark system performance  Provide recommendations to potential users  Identify future directions for VA system development

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Outline

 Motivation  Survey Design  Results  Summary of Key Findings  Conclusions

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Workflow

 Identify relevant commercial systems  study current market share, select systems in different

categories, assign priority level for each system

 Design structured questionnaire for functional

comparison

 Analyze functional comparison result  Further investigation on top-priority systems  system stress test, test against benchmark data

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In this paper…

 We report our findings on the systems 

15 systems in the initial list

Tableau, Spotfire, QlikView, JMP (SAS), JasperSoft, ADVIZOR Solutions, Board, Centrifuge, Visual Analytics, Visual Mining Cognos(IBM), SQL Server BI (Microsoft), Business Objects (SAP), Teradata, PowerPivot (Microsoft)

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10 answered our questionnaire (in green)

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Some additional text analysis systems investigated

nSpace (Oculus), Palentir, and In-Spire (PNNL)

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Outline

 Motivation  Survey Design  Results  Summary of Key Findings  Conclusions

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Results

 Part 1: functional comparison  Part 2: test with data

 Use cases  Scalability (loading stress) test

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Functional Comparison

 Data Management  Data Modelling  Visualization  System and Architecture

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Data Management

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Data Modelling

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Visualization

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System and Architecture

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Benchmarking System Performance

 Use case study

Practice Fusion Medical Research Data (Health 2.0 Data Challenge)

Geospatial and Microblogging Data (VAST Challenge 2011)

 Scalability test

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Use Case 1

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Use case 2

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Use case 2

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Use case 2

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Use case 2

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Scalability –Loading Stress Test

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Outline

 Motivation  Survey Design  Survey Result  Summary of Key Findings  Conclusions

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Key Findings

 Tasks categorization

Exploration, Dashboarding, Reporting, Alerting

 System characteristics

 Interactivity Tableau  Automatic Analysis Spotfire  Data Compression & memory optimization QlikView  Analytical add-ons JMP

, Cognos

 Presentation oriented features Centrifuge, Board, Visual Mining,

JasperSoft

 Network visualization Centrifuge, Visual Analytics

 Linguistic analysis on text documents Business Objects, Cognos,

Teradata, nSpace, Palentir, and In-Spire

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Outline

 Motivation  Survey Design  Survey Result  Summary of Key Findings  Conclusions

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Concluding Remarks

 Semi- and Unstructured Data  Advanced Visualization  Customizable Visualization  Real Time Analysis  Predictive Analysis

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Thanks for your attention!

 Questions?