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© COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
A NEW WAY OF THINKING ABOUT MDM
Michael Doane, Solutions Director
SLIDE: 2 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
“MDM is the consistent and uniform set of identifiers and extended attributes that describe the core
entities of the enterprise and are used across multiple business processes. ”
— Gartner
“The set of disciplines and methods to ensure the currency, meaning, quality, and deployment of a
company’s reference data within and across subject areas.”
— Baseline Consulting
“A set of disciplines, processes and technologies, for ensuring the accuracy, completeness, timeliness
and consistency of multiple domains of enterprise data ‒ across applications, systems and databases,
and across multiple business processes, functional areas, organizations, geographies and channels.”
— Dan Power, Hub Designs
What is Master Data Management?
MANY DEFINITIONS
SLIDE: 3 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
MDM is Complex
DATA
QUALITY
BUSINESS
RULES
DATA
FLOWS
INTEGRATION
POINTS
STEWARDSHIP
AUDIT
SUPPORTING
PROCESSES
& WORKFLOW
MANY COMPONENTS
MASTER
DATA
SLIDE: 4 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Traditional Lengthy Lifecycle of RDBMS-based MDM
Analyze Data Sources | Create Data Dictionary
Create Canonical List of Entities & Attributes
Create Canonical Data Model
Map Sources to Data Model
Write & Test ETL processes
Write & Test Data Source Priority Rules
Write & Test Disambiguation Rules
Load Data
Gather DQ Metrics
Data Cleansing Operations
Query Writing
Performance Testing
Functional Testing
Development Time
SLIDE: 5 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
 Lengthy modeling & ETL design processes = slow progress, dwindling
interest, brittle to adapt to changes in goals and data
 Some successes in personnel and custom siloed solutions
 Usually owned by IT and disconnected from the impact to the enterprise’s
profit and loss
 Chasing a truth-based model with a rigid golden definition vs. a trust-based
model with a golden portion and flexibility to capture and keep all data
Traditional MDM Faces Strong Headwinds
SLIDE: 6 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
The Problem With the Relational Approach
The Business Changes,
The Requirements Change,
The Source Data Changes
1
Take a Current
State Snapshot
Design the New
Data Model
Perform ETL
Create the
Indexes
2
3
4
Build the
Application
5
Restart Process
6
SLIDE: 7 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Repeat this Again?
Analyze Data Sources | Create Data Dictionary
Create Canonical List of Entities & Attributes
Create Canonical Data Model
Map Sources to Data Model
Write & Test ETL processes
Write & Test Data Source Priority Rules
Write & Test Disambiguation Rules
Load Data
Gather DQ Metrics
Data Cleansing Operations
Query Writing
Performance Testing
Functional Testing
Development Time
SLIDE: 8 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Traditional Data Integration
Is Complex and Fractured
 RDBMS for highly structured data
 Specialized databases for other data types
 ETL and integration software to connect silos
 …and, what about hierarchical data?
 …and, what about unstructured content?
 …maybe a data lake will help?
UNFORTUNATE REALITY
ETL
OLTP
ARCHIVES
ETL
ETL
DATA MARTS
ETL
MDM REPOSITORY
REFERENCE DATA
ETL
UNSTRUCTURED DATA
ETL
SEARCH
ETL
HADOOP
MAINFRAME
ETL
SLIDE: 9 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
OLTP
WAREHOUSE
DATA MARTS
ARCHIVES
REFERENCE DATA
OLTP
WAREHOUSE
DATA MARTS
DATA MARTS
OLTP
WAREHOUSE
DATA MARTS
DATA MARTS
WAREHOUSE
DATA MARTS
DATA MARTS
OLTP
HADOOP
UNSTRUCTURED DATA
REFERENCE DATA
OLTP
WAREHOUSE
ARCHIVES
Traditional Data Integration
 Complex – Fixed schemas and sprawling components
 Slow – Too long to develop, deploy, and update
 Expensive – High costs for software and personnel
 Brittle – Changes become overwhelming
SLIDE: 10 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Re-thinking Master Data
Management
 Achieve progress incrementally
 Tie to business drivers and events
 Reduce duplicate data and lengthy ETL
processes
 Adjust to change
A NEW APPROACH
MARKETING
SALES
CRMERP
FINANCELINE-OF-
BUSINESS 1
LINE-OF-
BUSINESS 2
HR
SLIDE: 11 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Operational Data Hub
 360 views of important entities
 Direct integration with transactional
applications
 Handles volume, variety, velocity (like
a data lake)
FIX THE ARCHITECTURE
MARKETING
SALES
CRMERP
HR
FINANCELINE-OF-
BUSINESS 1
LINE-OF-
BUSINESS 2
SLIDE: 12 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Streamlined Master
Data Management
A NEW APPROACHDATA SOURCES
MATCH. MERGE &
UNMERGE
OPERATIONAL DATA
HUB CORE
JSON
XML
CUSTOMER
ENGAGEMENT
OPERATIONS
FORMATS EVOLVE
NEW SOURCES
EASILY ADDED
BUSINESS
OPERATIONS
HARMONIZE IN
PLACE
SLIDE: 13 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Streamlined Master
Data Management
Schema-agnostic: Load “as-is”,
minimize ETL, incrementally deliver
results early on, maintain buy-in
A NEW APPROACH
DATA SOURCES
MATCH. MERGE &
UNMERGE
OPERATIONAL DATA
HUB CORE
JSON
XML
CUSTOMER
ENGAGEMENT
OPERATIONS
FORMATS EVOLVE
NEW SOURCES
EASILY ADDED
BUSINESS
OPERATIONS
SLIDE: 14 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Streamlined Master
Data Management
Contextual: Improved data quality
through minimizing data duplication at
point of engagement
A NEW APPROACH
DATA SOURCES
MATCH. MERGE &
UNMERGE
OPERATIONAL DATA
HUB CORE
JSON
XML
CUSTOMER
ENGAGEMENT
OPERATIONS
FORMATS EVOLVE
NEW SOURCES
EASILY ADDED
BUSINESS
OPERATIONS
SLIDE: 15 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Streamlined Master
Data Management
All the Data: Master a subset and keep all
source data in original formats; reverse
changes or unmerge at any time
A NEW APPROACH
DATA SOURCES
MATCH. MERGE &
UNMERGE
OPERATIONAL DATA
HUB CORE
JSON
XML
CUSTOMER
ENGAGEMENT
OPERATIONS
FORMATS EVOLVE
NEW SOURCES
EASILY ADDED
BUSINESS
OPERATIONS
SLIDE: 16 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Streamlined Master
Data Management
Metadata Unlimited: Maintain data
provenance, bitemporal timestamps,
security on every data element
A NEW APPROACH
DATA SOURCES
MATCH. MERGE &
UNMERGE
OPERATIONAL DATA
HUB CORE
JSON
XML
CUSTOMER
ENGAGEMENT
OPERATIONS
FORMATS EVOLVE
NEW SOURCES
EASILY ADDED
BUSINESS
OPERATIONS
SLIDE: 17 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Streamlined Master
Data Management
Simplified Architecture: Database,
Search, Application Services, Security
and more in one QA’d platform
A NEW APPROACH
DATA SOURCES
MATCH. MERGE &
UNMERGE
OPERATIONAL DATA
HUB CORE
JSON
XML
CUSTOMER
ENGAGEMENT
OPERATIONS
FORMATS EVOLVE
NEW SOURCES
EASILY ADDED
BUSINESS
OPERATIONS
SLIDE: 18 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Streamlined Master
Data Management
Logical Data Model: Entities represent
naturally as Documents, not shredded.
Semantic Triples to relate data
A NEW APPROACH
DATA SOURCES
MATCH. MERGE &
UNMERGE
OPERATIONAL DATA
HUB CORE
JSON
XML
CUSTOMER
ENGAGEMENT
OPERATIONS
FORMATS EVOLVE
NEW SOURCES
EASILY ADDED
BUSINESS
OPERATIONS
SLIDE: 19 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Streamlined Master
Data Management
Secure: Support for operational apps
data access control and data governance
A NEW APPROACH
DATA SOURCES
MATCH. MERGE &
UNMERGE
OPERATIONAL DATA
HUB CORE
JSON
XML
CUSTOMER
ENGAGEMENT
OPERATIONS
FORMATS EVOLVE
NEW SOURCES
EASILY ADDED
BUSINESS
OPERATIONS
SLIDE: 20 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Streamlined Master
Data Management
Full Auditing: Capture who, what, when
and why for all user and automated data
changes and actions
A NEW APPROACH
DATA SOURCES
MATCH. MERGE &
UNMERGE
OPERATIONAL DATA
HUB CORE
JSON
XML
CUSTOMER
ENGAGEMENT
OPERATIONS
FORMATS EVOLVE
NEW SOURCES
EASILY ADDED
BUSINESS
OPERATIONS
Real-World Examples
SLIDE: 22 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Operational Data Hub with Streamlined MDM
STATE DHHS SOLUTION
Operational MDM with fuzzy match to find duplicates and correct or merge
POC APPLICATIONS
JSON
XML
OPERATIONAL CASE WORK
ADULT BENEFITS DETERMINATION
INCREMENTAL ADDITION OF NEW DATA SOURCES
CHILDREN’S SOCIAL SERVICES
JUVENILE SERVICES
ASYLUM & REFUGEE ASSISTANCE
RESOURCE ELIGIBILITY SYSTEM
HOME ENERGY ASSISTANCE
ASYLUM & REFUGEE ASSISTANCE
OTHER (RESTful SERVICES)
REST
API
SLIDE: 23 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Operational Mastering
HEALTHCARE.GOV
Operational Mastering at Point of Engagement Reduces Duplicates and Need for Traditional MDM
CUSTOMER
SERVICE REPS
JSON
XML
CONSUMER
WEB ACCESS
OPERATIONAL
MASTERING
STATE
BENCHMARKS
MULTIPLE SOURCES
& TYPES
INSURANCE
POLICIES
USER FINANCIAL
DATA
INSURANCE
PLANS & RATES
EVENTS
CHANGE UTILITY
CASE EDITING
MEDICAID
TRANSFERS
OPERATIONAL
MASTERING
OPERATIONAL
MASTERING
HEALTH INSURANCE
MARKETPLACE
MIDAS
FINANCIALS
(HADOOP)
IRS
SSA
TRICARE
PEACE
CORPS
DHS
OPM
ELIGIBILITY
DETERMINATION
STATE
EXCHANGES
DATA SERVICES HUB
SLIDE: 24 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
An Operational and Transactional Enterprise NoSQL Database Makes Streamlined MDM Possible
The MarkLogic Alternative
 Data ingested as is (no ETL)
 Structured and unstructured data
 Data and metadata together
 Adapts to changing data
and changing data structures
EASY TO
GET DATA IN
Flexible Data Model
 Index once and query endlessly
 Real-time and lightning fast
 Query across JSON, XML, text,
geospatial, and semantic triples
in one database
EASY TO
GET DATA OUT
Ask Anything Universal Index
 Reliable data and transactions
(100% ACID compliant)
 Out-of-the-box automatic
failover, replication, and
backup/recovery
 Enterprise-grade security and
Common Criteria certified
100%
TRUSTED
Enterprise Ready
Questions?

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A New Way of Thinking About MDM

  • 1. © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. A NEW WAY OF THINKING ABOUT MDM Michael Doane, Solutions Director
  • 2. SLIDE: 2 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. “MDM is the consistent and uniform set of identifiers and extended attributes that describe the core entities of the enterprise and are used across multiple business processes. ” — Gartner “The set of disciplines and methods to ensure the currency, meaning, quality, and deployment of a company’s reference data within and across subject areas.” — Baseline Consulting “A set of disciplines, processes and technologies, for ensuring the accuracy, completeness, timeliness and consistency of multiple domains of enterprise data ‒ across applications, systems and databases, and across multiple business processes, functional areas, organizations, geographies and channels.” — Dan Power, Hub Designs What is Master Data Management? MANY DEFINITIONS
  • 3. SLIDE: 3 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. MDM is Complex DATA QUALITY BUSINESS RULES DATA FLOWS INTEGRATION POINTS STEWARDSHIP AUDIT SUPPORTING PROCESSES & WORKFLOW MANY COMPONENTS MASTER DATA
  • 4. SLIDE: 4 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. Traditional Lengthy Lifecycle of RDBMS-based MDM Analyze Data Sources | Create Data Dictionary Create Canonical List of Entities & Attributes Create Canonical Data Model Map Sources to Data Model Write & Test ETL processes Write & Test Data Source Priority Rules Write & Test Disambiguation Rules Load Data Gather DQ Metrics Data Cleansing Operations Query Writing Performance Testing Functional Testing Development Time
  • 5. SLIDE: 5 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.  Lengthy modeling & ETL design processes = slow progress, dwindling interest, brittle to adapt to changes in goals and data  Some successes in personnel and custom siloed solutions  Usually owned by IT and disconnected from the impact to the enterprise’s profit and loss  Chasing a truth-based model with a rigid golden definition vs. a trust-based model with a golden portion and flexibility to capture and keep all data Traditional MDM Faces Strong Headwinds
  • 6. SLIDE: 6 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. The Problem With the Relational Approach The Business Changes, The Requirements Change, The Source Data Changes 1 Take a Current State Snapshot Design the New Data Model Perform ETL Create the Indexes 2 3 4 Build the Application 5 Restart Process 6
  • 7. SLIDE: 7 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. Repeat this Again? Analyze Data Sources | Create Data Dictionary Create Canonical List of Entities & Attributes Create Canonical Data Model Map Sources to Data Model Write & Test ETL processes Write & Test Data Source Priority Rules Write & Test Disambiguation Rules Load Data Gather DQ Metrics Data Cleansing Operations Query Writing Performance Testing Functional Testing Development Time
  • 8. SLIDE: 8 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. Traditional Data Integration Is Complex and Fractured  RDBMS for highly structured data  Specialized databases for other data types  ETL and integration software to connect silos  …and, what about hierarchical data?  …and, what about unstructured content?  …maybe a data lake will help? UNFORTUNATE REALITY ETL OLTP ARCHIVES ETL ETL DATA MARTS ETL MDM REPOSITORY REFERENCE DATA ETL UNSTRUCTURED DATA ETL SEARCH ETL HADOOP MAINFRAME ETL
  • 9. SLIDE: 9 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. OLTP WAREHOUSE DATA MARTS ARCHIVES REFERENCE DATA OLTP WAREHOUSE DATA MARTS DATA MARTS OLTP WAREHOUSE DATA MARTS DATA MARTS WAREHOUSE DATA MARTS DATA MARTS OLTP HADOOP UNSTRUCTURED DATA REFERENCE DATA OLTP WAREHOUSE ARCHIVES Traditional Data Integration  Complex – Fixed schemas and sprawling components  Slow – Too long to develop, deploy, and update  Expensive – High costs for software and personnel  Brittle – Changes become overwhelming
  • 10. SLIDE: 10 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. Re-thinking Master Data Management  Achieve progress incrementally  Tie to business drivers and events  Reduce duplicate data and lengthy ETL processes  Adjust to change A NEW APPROACH MARKETING SALES CRMERP FINANCELINE-OF- BUSINESS 1 LINE-OF- BUSINESS 2 HR
  • 11. SLIDE: 11 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. Operational Data Hub  360 views of important entities  Direct integration with transactional applications  Handles volume, variety, velocity (like a data lake) FIX THE ARCHITECTURE MARKETING SALES CRMERP HR FINANCELINE-OF- BUSINESS 1 LINE-OF- BUSINESS 2
  • 12. SLIDE: 12 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. Streamlined Master Data Management A NEW APPROACHDATA SOURCES MATCH. MERGE & UNMERGE OPERATIONAL DATA HUB CORE JSON XML CUSTOMER ENGAGEMENT OPERATIONS FORMATS EVOLVE NEW SOURCES EASILY ADDED BUSINESS OPERATIONS HARMONIZE IN PLACE
  • 13. SLIDE: 13 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. Streamlined Master Data Management Schema-agnostic: Load “as-is”, minimize ETL, incrementally deliver results early on, maintain buy-in A NEW APPROACH DATA SOURCES MATCH. MERGE & UNMERGE OPERATIONAL DATA HUB CORE JSON XML CUSTOMER ENGAGEMENT OPERATIONS FORMATS EVOLVE NEW SOURCES EASILY ADDED BUSINESS OPERATIONS
  • 14. SLIDE: 14 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. Streamlined Master Data Management Contextual: Improved data quality through minimizing data duplication at point of engagement A NEW APPROACH DATA SOURCES MATCH. MERGE & UNMERGE OPERATIONAL DATA HUB CORE JSON XML CUSTOMER ENGAGEMENT OPERATIONS FORMATS EVOLVE NEW SOURCES EASILY ADDED BUSINESS OPERATIONS
  • 15. SLIDE: 15 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. Streamlined Master Data Management All the Data: Master a subset and keep all source data in original formats; reverse changes or unmerge at any time A NEW APPROACH DATA SOURCES MATCH. MERGE & UNMERGE OPERATIONAL DATA HUB CORE JSON XML CUSTOMER ENGAGEMENT OPERATIONS FORMATS EVOLVE NEW SOURCES EASILY ADDED BUSINESS OPERATIONS
  • 16. SLIDE: 16 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. Streamlined Master Data Management Metadata Unlimited: Maintain data provenance, bitemporal timestamps, security on every data element A NEW APPROACH DATA SOURCES MATCH. MERGE & UNMERGE OPERATIONAL DATA HUB CORE JSON XML CUSTOMER ENGAGEMENT OPERATIONS FORMATS EVOLVE NEW SOURCES EASILY ADDED BUSINESS OPERATIONS
  • 17. SLIDE: 17 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. Streamlined Master Data Management Simplified Architecture: Database, Search, Application Services, Security and more in one QA’d platform A NEW APPROACH DATA SOURCES MATCH. MERGE & UNMERGE OPERATIONAL DATA HUB CORE JSON XML CUSTOMER ENGAGEMENT OPERATIONS FORMATS EVOLVE NEW SOURCES EASILY ADDED BUSINESS OPERATIONS
  • 18. SLIDE: 18 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. Streamlined Master Data Management Logical Data Model: Entities represent naturally as Documents, not shredded. Semantic Triples to relate data A NEW APPROACH DATA SOURCES MATCH. MERGE & UNMERGE OPERATIONAL DATA HUB CORE JSON XML CUSTOMER ENGAGEMENT OPERATIONS FORMATS EVOLVE NEW SOURCES EASILY ADDED BUSINESS OPERATIONS
  • 19. SLIDE: 19 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. Streamlined Master Data Management Secure: Support for operational apps data access control and data governance A NEW APPROACH DATA SOURCES MATCH. MERGE & UNMERGE OPERATIONAL DATA HUB CORE JSON XML CUSTOMER ENGAGEMENT OPERATIONS FORMATS EVOLVE NEW SOURCES EASILY ADDED BUSINESS OPERATIONS
  • 20. SLIDE: 20 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. Streamlined Master Data Management Full Auditing: Capture who, what, when and why for all user and automated data changes and actions A NEW APPROACH DATA SOURCES MATCH. MERGE & UNMERGE OPERATIONAL DATA HUB CORE JSON XML CUSTOMER ENGAGEMENT OPERATIONS FORMATS EVOLVE NEW SOURCES EASILY ADDED BUSINESS OPERATIONS
  • 22. SLIDE: 22 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. Operational Data Hub with Streamlined MDM STATE DHHS SOLUTION Operational MDM with fuzzy match to find duplicates and correct or merge POC APPLICATIONS JSON XML OPERATIONAL CASE WORK ADULT BENEFITS DETERMINATION INCREMENTAL ADDITION OF NEW DATA SOURCES CHILDREN’S SOCIAL SERVICES JUVENILE SERVICES ASYLUM & REFUGEE ASSISTANCE RESOURCE ELIGIBILITY SYSTEM HOME ENERGY ASSISTANCE ASYLUM & REFUGEE ASSISTANCE OTHER (RESTful SERVICES) REST API
  • 23. SLIDE: 23 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. Operational Mastering HEALTHCARE.GOV Operational Mastering at Point of Engagement Reduces Duplicates and Need for Traditional MDM CUSTOMER SERVICE REPS JSON XML CONSUMER WEB ACCESS OPERATIONAL MASTERING STATE BENCHMARKS MULTIPLE SOURCES & TYPES INSURANCE POLICIES USER FINANCIAL DATA INSURANCE PLANS & RATES EVENTS CHANGE UTILITY CASE EDITING MEDICAID TRANSFERS OPERATIONAL MASTERING OPERATIONAL MASTERING HEALTH INSURANCE MARKETPLACE MIDAS FINANCIALS (HADOOP) IRS SSA TRICARE PEACE CORPS DHS OPM ELIGIBILITY DETERMINATION STATE EXCHANGES DATA SERVICES HUB
  • 24. SLIDE: 24 © COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. An Operational and Transactional Enterprise NoSQL Database Makes Streamlined MDM Possible The MarkLogic Alternative  Data ingested as is (no ETL)  Structured and unstructured data  Data and metadata together  Adapts to changing data and changing data structures EASY TO GET DATA IN Flexible Data Model  Index once and query endlessly  Real-time and lightning fast  Query across JSON, XML, text, geospatial, and semantic triples in one database EASY TO GET DATA OUT Ask Anything Universal Index  Reliable data and transactions (100% ACID compliant)  Out-of-the-box automatic failover, replication, and backup/recovery  Enterprise-grade security and Common Criteria certified 100% TRUSTED Enterprise Ready