Big data vendor panel - MarkLogic

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Healthcare Analytics SummitSara Mazer, Principal Healthcare Solutions Architect

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Harnessing Data & Reimagining Applications

Reduce Risk – Fraud & Waste

Manage Compliance

Create New Value from Data

Optimize Operations

Lower TCO / Better IT Economics

Better Decision-making

HEALTHCARE.GOV

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Health insurance for millions of Americans

Built for Today’s Data

Schema-agnostic data model that could handle various data sources and adapt

to later changes with policies and regulations

Agile Development

18-month timeframe from procurement to launch for what has been called “the

most complex government-IT project of all-time”

Secure and Trusted

Did not have to sacrifice any of the enterprise features required, and could rely on

a system with government-grade security, ACID transactions, and HA/DR

Successful Deployment

Over 8 Million people signed up for health insurance in less than 5 months

After MarkLogicBefore MarkLogic

Unable to handle complexity

Impossible data model

Development too slow

Limited scalability

Inflexible to change

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8,000,000+ new beneficiaries

150,000+ concurrent users

0 zero data loss

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MarkLogic is Gartner’s #1 Rated

Operational Data Warehouse

Source: Critical Capabilities for Data Warehouse Database Management Systems, Roxane Edjlali and Mark A. Beyer, Gartner, 18 August 2014

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Enterprise Search, Database, and App Services

Search & Query

ACID Transactions

High Availability / Disaster Recovery

Replication

Government-grade Security

Scalability & Elasticity

On-premise or Cloud Deployment

Hadoop for Storage & Compute

Semantics

Faster Time-to-Results

SEARCHDATABASE

APPLICATION SERVICES

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Semantics to Link Data

Data model to manage relationships and link together data

‘triples’ (Subject-Predicate-Object) describe single facts

Collections of facts describe complex real-world scenarios

"John Smith" "England"livesIn

"London"isIn

livesIn

!

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The World of TriplesLinked Open Data

(Free semantic facts available to anyone)

Facts from Free-Flowing Text(Derived from semantic enrichment)

Proprietary Semantic Facts(Facts and Taxonomies in your organization)

Facts in Documents (Part of metadata or added with authoring tools)

Se

ma

nti

c W

orl

d

Do

cu

me

nt

Wo

rld

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MarkLogic Semantics Use Cases

Semantic Search

– Make use of billions of facts to make your search app better

Dynamic Semantic Publishing

– Manage nuggets of information, deliver as mashups

Information Aggregation and Reduced ETL

– Aggregate atomic pieces of data

– Link same/similar/related documents and data

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EX: British Standards Institute

"Compliance Navigator"

Find all the standards I need to read before

building a "cardiac catheter"

Ex. Search for "cardiac catheters" also

returns results for:

– safety requirements for devices that

stimulate nerves

– sterilization of implantable devices

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Semantics Powered Facets at APA

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Medical Device Intelligence App

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Procedures and Payments: MarkLogic and Tableau

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Semantics in Action

Learn More About NoSQL and Semantics

Read

nosqlfordummies.com

Learn Meet

marklogic.com/training [email protected]

Download

Semantics Paper