DATA TACTICS CORPORATION SEMANTIC AND ONTOLOGY

INTEROPERABILITY SUMMIT

FEB 12, 2013

Data Tactics Overview

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Our Staff

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200+ Employees • 90% TS/SCI cleared, many with polygraphs

• 25% have Advanced Degrees and Doctorates

• High percentage of Military and Intelligence

• Community Veterans

• Over 10% of Staff are “Data Scientists”

• Three World Class Semantic Researchers

Certification Highlights • Project Management: CMMI, Project+, and PMP

• Software Development

• VMware

• Cyber Security

• Cloudera Certified Engineers • Over 40% of Technical Staff

• Hadoop

• Puppet

• MapR

• Greenplum

Data Tactics: What We Do

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• Data Architecture

• Innovation and Design

• Assessment and Benchmarking

• Collaboration and Uniformity

• Data Engineering

• Discovery, Ingestion, and Cleansing

• Scientific Analysis

• Large Scale Computation and Platforms

• Data Management

• Security and Assurance

• Infrastructure and Administration

• Visualization and Dissemination

Data Tactics – Open Source Advocate for Lowering IC IT Costs

Our Methodologies

• Bridging the Academic and Operational Gap

• Translating our operational experience from tactical ground

operations and academia into actionable requirements

• Tactical Engineering

• Team diversity provides a greater understanding of customer

requirements which translates to focused and efficient solutions

• Experience comes from the DoD and Intelligence Community not

just analytical or technical experience

• Staff is trained across multiple technical disciplines

• Right to Left Approach

• Solving our customers’ problems starting at the “right” with “what do

they want from their data”

• No “cookie cutter” approach

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Data Tactics Core Customers

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"...cultivating, strengthening, and advancing your data…"

Today's decisions makers are tasked to gather, correlate and analyze information from

ever increasing data sources in shorter amounts of time. Data Tactics is focused on

solving the problems of data management facing the DoD, intelligence community, law

enforcement and the private sector. From tactical to strategic efforts, our team has lead

the creation, integration and implementation of innovative and proven solutions in the

world of data alignment, modeling and analytics

Data Tactics – Open Source Advocate for Lowering IC IT Costs

Data Tactics Key Big Data Analytic Efforts

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DNI INFORMATION TECHNOLOGY EFFICIENCY (ITE): FIRST IC/DoD Cloud

NSA TEST, INTEGRATION, DEPLOYMENT AND SUSTAINMENT (TIDS)

T3 - Security Engineering / Information Assurance

ARMY DCGS-A STANDARD CLOUD (DSC): FIRST DoD Production Cloud

INSCOM ENTERPRISE PLATFORM (IEP): FIRST DoD R&D Cloud

AIR FORCE AIR FORCE TENCAP: FIRST DoD Implementation of NSA Ghost Machine Architecture

DARPA NEXUS 7: FIRST DARPA Cloud

MORE EYES: FIRST Deployed DARPA Cloud

XDATA: Integration and CASE Project

DHS Cerberus: OI&A Data Analytic Cloud

Data Tactics – Open Source Advocate for Lowering IC IT Costs

Globally Deployed Open Source Clouds

Data Tactics – Open Source Advocate for Lowering IC IT Costs

17 Clouds on SIPRNET

• 4 at DT in Tyson’s

• 1 at GISA, Ft. Bragg

• 2 in Hawaii

• 2 in Germany

• 7 at APG in MD

• 1 in Afghanistan

7 Clouds on TS/SCI

• 1 at AF TENCAP, CO

• 1 at NRL, DC

• 1 at DT in VA

• 1 at INSCOM

• 3 for DSC

5 Clouds on UNCLASS

4 Clouds on Coalition Networks

• 4 at DT in VA (DARPA)

• 1 at DT in VA (IRAD)

• Coalition Networks:

• 1 on CX-I in Afghanistan

• 1 on CX-T in Afghanistan

• 1 Cloud on BICES

• 1 Cloud in Germany

Cloud and Big Data Domains are where we

live.

Data is the hard problem.

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Data to Knowledge to Decisions

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Data Deluge

2/14/2013 DoD Division Quarterly Program Review (QPR) 10

Data Federation Pyramid

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Mike Bergman, “Climbing the Data Federation Pyramid

Data Driven Decisions

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Caron Kogan, “Path to Actionable Insights”

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Introduction

Army DCGS-A Standard Cloud (DSC)

An Implementation of Semantics and Ontologies

Q&A and Break

Horizontal Integration of Warfighter Intelligence

Data

Role of Ontology in the Era of Big Data

Q&A and Break

Google Spanner Proof of Concept

Database on a Global Scale

Wrap Up and Next Steps

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