Internet of Things: Lightning Round, Hite

Rodney Hite

Lightning Round

Product Manager, Big Data Solutions, ViON

Analytics in the Age of Big Data

Big Data #1

“Most Ambiguous Terms”

Global Language Monitor

Big Data Is Not New

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1976 – physical disk formats: hard-sectored 90 KB and soft-sectored 110 KB

1983 - single-sided media, with formatted capacities of 360 KB

1984 – double-sided media, with formatted capacities of 720 KB

1986 - What became the most common format, the double-sided, high-density (HD) 1.44 MB disk drive.

The New “Big Data”

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Gartner. In 2001, a Meta (now Gartner) report noted the increasing size of data, the increasing rate at which it is produced and the increasing range

of formats and representations employed.

This report predated the term “Big Data” but proposed a three-fold definition encompassing the “three V’s”: Volume, Velocity and Variety.

2008 - Apache Hadoop is an open-source software framework for storage and large-scale processing of data-sets on clusters of commodity hardware.

VALUE

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Semantic Extraction

Sentiment Analysis

Entity Extraction

Link Analysis

Temporal Analysis

Geospatial Analysis

Time Event Matrices

Predictive Pattern Analysis

Video/Imagery Analytics

Machine Created - logs

Email

Video – Predator Surveillance

Audio – Phone recordings

Sensor - Weather

Social Media - Twitter

Databases – Structured Text

Reports – Semi-Structured Text

Documents – Unstructured Text

Graphs – Graph Dbs

Data Analytics

A new world of analytical possibilities is opened.

Data and Complexity

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It’s All About the Data

Getting Value

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Visualization Is A Critical Accelerator For Data ExplorationThe Best Big Data integration technology allow visual exploration of data

independent of the type of data or the source from which it came

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Gartner Hype Curve

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What’s really new is the technology available that allows us to make sense of the data.

Visualization versus Analytics

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Data Visualization - data that is available to those who know how to

get it and make it presentation friendly and easier to digest by your average audience member.

Data Analytics - is a multi-dimensional discipline using

mathematics and statistics to gain valuable knowledge from

data - data analysis.

Top 100 NFL Players of All Time

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NFL Graphs

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• Predictive Analytics used to determine probability of success based on Down and Distance.

• Correlation Analytics conducted on Tom Brady’s individual statistics and his affect on game outcome.

MLB Pitching Analysis

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Analyze multiple data sources to include video analytics to maximize the usage of the data providing valuable insight.

TruMedia's MLB analytics platform

Pitch Frequency Strikeout Pitches

Geospatial Analysis – Data Fusion

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Data integration with mapping features allows interactive visualization of data fusion with Geospatial and Temporal references.

Cyber Security Analysis

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• Analysis to identify tactics, techniques and processes to identify, isolate and eliminate risks to the environment.

• Discover actionable, often unforeseen, insight because the Semantic Analysis highlights interdisciplinary relationships and unexpected data combinations

Fraud Detection

Fraud involves cell phones, insurance claims, tax return claims, credit card transactions etc

Combine historical and transactional data to detect fraudulent activity, identify transactional behavior that indicates a high likelihood of illegal activities.

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Predictive Pattern Analytics

Analytical tool for predicting the location of future incidents

This analytic provides an awareness of the general situation, and additionally it provides a series of tools for decision support

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Investigations - Pattern of Life

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• Pattern-of-life analysis is a method of surveillance specifically used for documenting or understanding a subject’s habits.

• This information can then be used to predict future actions by the subject(s) being observed.

Social Media Analysis – NLP & Entity Extraction

Advanced text analytics tools analyze the unstructured text to gain understanding of the context, identify entities and their relationships, conduct topic clustering, determine contextual sentiment, and conduct time-event trending.

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What Is A Successful Big Data StrategyDefined Desired Results – Design an Iterative Approach

Future - Be future proof through design – Hadoop and NoSQL

Cost - Understand the Licensing Model vs Professional Services

Resources – Use your Data Scientist and Engineers on the Data not the Infrastructure

Integration - Big Data integrations are built to be embedded in other environments

Thank You!

Rodney Hite

Product Manager – Big Data

[email protected]

O: 571-353-6097/c: 919-604-0809