Model Drive Data Integration & Lineage - up to 90% Faster and Cheaper

1. Anzo Smart Data Integration
©2014 Cambridge Semantics Inc. All rights reserved. Company Confidential.
Cambridge Semantics Contact:
Marty Loughlin
Vice President, Financial Services
Cambridge Semantics
141 Tremont St., 6th Floor, Boston, MA
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marty@cambridgesemantics.com
(o) 617.855.9565

2. Anzo Smart Data Integration Overview
Anzo Smart Data Integration
uses common, conceptual models with existing ETL
tools to increase the speed and decrease the cost of
completing high-quality, governed data integration
projects by 10 times or more.
©2014 Cambridge Semantics Inc. All rights reserved. Company Confidential Page 2

3. The Data Integration Challenge
Customer
360
Enterprise
Warehouse
Business
Data Marts
Compliance and
Regulatory Reporting
Source Systems
Business Analyst Developers QA & Ops Each ETL Project:
• Manually coded
• Requires source
& target SMEs
• Many hand-offs
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Lead
(SFA system)
Quote
(Quote system)
Order
(OMS system)
Contract
(CMS system)
Target Systems S x T
ETL Jobs
Each
Job
Define
Mapping
Requirements
Code ETL
Job
Test & Deploy

4. The Common Model is “Data Glue”
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Lead
(SFA system)
Quote
(Quote system)
Order
(OMS system)
Contract
(CMS system)
Common Model
(“Data Glue”)
Source Systems
• Many common concepts across
disparate systems
• Semantic data science connects
these common concepts
• Data is “glued” together by its
underlying business meaning
• Potential to use industry standard
models, e.g., FIBO, CDISC, HL7
Business Analysts and IT can use conceptual models to:
• Create data services
• Understand the data landscape
• Track data lineage
• Conduct downstream analytics

5. Anzo Smart Data Integration
Compliance and
Regulatory Reporting
Common Model
(“Data Glue”)
Business Analyst
Anzo SDI
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Each ETL Job:
• Generated from map
• Only source SME
required
• Hours, not months
Customer
360
Enterprise
Warehouse
Business
Data Marts
Source Systems
Lead
(SFA system)
Quote
(Quote system)
Order
(OMS system)
Contract
(CMS system)
Target Systems
Each
Job
Map Source to
Conceptual Model
S + T
Maps
Automatically
Generate ETL

6. Anzo Smart Data Integration Capabilities
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Map to/from
conceptual
models
Combine
maps &
automatically
generate ETL
jobs
Create data
marts and
extracts
on-demand
Explore data
provenance

7. Anzo Smart Data Integration Components
Model Manager
Data Connections
Schema Manager
Project Manager
Mapping Manager
Provenance Explorer
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8. Anzo Smart Data Integration Demo
MySQL
Source System
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Holdings
Table
Conceptual Target System
Asset
Model
• Map Holdings database to Conceptual Asset Model
• Map Conceptual Asset Model to MySQL target database
• Publish and run Pentaho job
• Demonstrate Lineage
Scenario

9. Appendix
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10. Enterprise Middleware Applications
Data Fabric
Anzo Server
Reasoning
& Rules
Workflow
Semantic
Services
Anzo
Connect
Enterprise
Directory Connect
Anzo
Unstructured
Data Marts &
Warehouses
Enterprise
Applications
Directory
(LDAP, AD)
………
3rd Party
Databases &
Applications
Anzo Architecture & Capabilities
External
Sources
• User self-serve
• Interactive
• Conceptual model
• Search, filter, BI
analytics, forms,
alerts,…
• Cache or virtualize
data based on W3C
semantic standards
• Based on real-time
event based
architecture
• Embedded graph
database
• Two-way integration
to existing systems
• Anzo Unstructured
pipeline allows easy
plug-in of 3rd Party
NLP and crawlers

11. Anzo Smart Data Integration Architecture
Smart Data Integrator
(web application)
…includes:
• Project manager
• Schema manager
• Model manager
• Data feed manager
• Governance dashboards
Data Mapper
(Excel-based)
Mapping
Registry
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Conceptual
Model Editor
Anzo Smart EDM Server
ETL
Compiler
Conceptual
Model Registry
Schema & Sample
Data Registry
Data Source
Registry
Data Feeds Catalog
Services:
• Sample data service
• Data feed persistence service
• Revision & audit service
• Access control service
ETL
Engine
• SQL
• CSV/TSV
• XML
• Proprietary
• SQL
• CSV/TSV
• XML
• Proprietary

12. ASDI User Roles
•Defines projects and mappings
•Configures data sources & schemas
•Publishes projects to ETL tools
•Populates Data Catalog with Data Feeds
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Full User
Data Consumer
•Search and browse Data Catalog
•Creates on-demand data marts and extracts from Data Catalog
Governance User
•Manage models
•Browse and search projects
•Browse and search data lineage
Administrator
•Configures users and roles
•Configures dashboards and templates

13. ASDI Use Case: Creating a Data Lake
Common Conceptual
Model
Data
Lake
Self-service Analytics
Self-service Data Extracts
& Marts
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Sources
Anzo
Smart Data Integration
Anzo provides a
platform –wide
common conceptual
model
Anzo enables end-user
self-service
using models
ASDI streamlines and
automates data
ingestion