Big Data and Visualization

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Data Visualization Data Visualization Michel BruleyTeradata Aster

EMEA Marketing Director

April 2013Michel BruleyTeradata AsterEMEA Marketing Director

June 2013

Visual Community: http://vacommunity.org/tiki-index.php

Origin of Information Origin of Information VisualizationVisualization

Large Scale Visual AnalyticsLarge Scale Visual Analytics

Definition: Visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces.

People use visual analytics tools and techniques to

– Synthesize information and derive insight from massive, dynamic, ambiguous, and often conflicting data

– Detect the expected and discover the unexpected

– Provide timely, defensible, and understandable assessments

– Communicate assessment effectively for action.

Visual Analytics: conceptual view

Visualization

Modelvisualization

Techniques and Applications

Statistics: A/B testing(split testing/bucket testing ), Spatial analysis, Predictive modelling: Regression

Machine Learning: Unsupervised learning: cluster analysis, Supervised learning: classification, support vector machines(SVM), ensemble learning, Association rule learning

Data Mining and Pattern Recognition: neural network, classification, clustering

Natural language processing(NLP): Sentiment analysis

Dimension Reduction: PCA, MDS, SVD

Data fusion and data integration: Visual Word

Time series analysis: Combination of statistics and signal processing

Simulation: Monte Carlo simulations, MRF

Optimization: Genetic algorithms

Visualization: Scientific Vis, Info visualisation, Visual Analytics

Use cases

Financial Visual Analytics Cyber security Visual Analytics Visual Analytics for Investigative Analysis on Text

Documents Situation Surveillance and Awareness in Investigative

Analysis Multimedia Visual Analytics Terrorism and Responses Disease visual analytics for Disease outbreak Prediction Etc.

Stacked Graphs

Tree Visualization(1)

Node-Link Diagrams

DendrogramSunburst

Tree Visualization(2)

TreemapCircle-packing layouts

Network Visualization

Force-Directed Layout

Arc Diagrams

Matrix Views

Scatter Plot

Parallel Coordinates

Flow Maps

Napoleon’s Russian offensive was a catastrophe. He started with 422,000 men in June 1812 and returned with less than 10,000 soldiers on October 7, 1813. (For more details see slide notes)

Aster Discovery Platform

AFFINITY VISUALIZERVisualize clusters & groups

HIERARCHY VISUALIZER

Visualize hierarchical relationships

FLOW VISUALIZERVisualize paths & patterns

Complementary ValueBI Tools: Batch Visualizations Outside the

Database, General & GenericAster: Rapid Visualizations, in-Database,

for Specialized Analytics

Visual SQL-MapReduce® Functions

Complementary to BI tools & other visualizations

Functions: Flow, Affinity, Hierarchy Visualizers

ChordChord

Team PowerTeam Power

Big Data and Visualization

Business