In our webinar "A Data Fabric Market Update with Guest Speaker, VP, Principal Analyst Noel Yuhanna" Ben Szekely, Cambridge Semantics’ Co-founder and SVP of Field Operations, and guest speaker, Noel Yuhanna, VP and Principal Analyst at Forrester and author of the “The Forrester Wave™: Enterprise Data Fabric, Q2 2020”, discuss the state of the Data Fabric Market. These are Ben's slides from that webinar.

1. Ben Szekely - SVP and Co-founder, Head of Field Ops
June 2020
• Based in Boston
• Origins in IBM and Netezza
• Anzo 5.0 GA Feb 2020
• Featuring enterprise-scale
OLAP graph database engine
Graph-driven data integration: accelerating and
automating data delivery for the enterprise data
fabric.

2. ©2020 Cambridge Semantics Inc. All rights
DAILYMED.nlm.nih.go
v
Adverse Event Reports
Orange Book - Patents
Drugs@FDA - Approved
Drugs & Letters
Single View of Drug Product
Motivating Example: Integration of FDA Public Data
ClinicalTrials.gov

3. ©2020 Cambridge Semantics Inc. All rights
Appl_No Approval_Date Applicant
205613 10/07/2014 Valeant Pharms
212379 10/18/2019 Foamix
… … …
Semantic graph models unambiguously and flexibly
connect data fabric sources
ApplNo ProductNo DrugName ActiveIngredient
205612 007 ROPIVACAINE HYDROCHLORIDE
205613 001 UCERIS BUDESONIDE
… …
Orange Book-Products
12.2 Pharmacodynamics
Treatment with glucocorticosteroids,
including UCERIS rectal foam, is
associated with a suppression of
endogenous cortisol concentrations
and an impairment of the
hypothalamic-pituitary-adrenal
(HPA) axis function.
DailyMedDrugs@FDA-Products

4. ©2020 Cambridge Semantics Inc. All rights
Appl_No Approval_Date Applicant
205613 10/07/2014 Valeant Pharms
212379 10/18/2019 Foamix
… … …
Semantic graph models unambiguously and flexibly
connect data fabric sources
ApplNo ProductNo DrugName ActiveIngredient
205612 007 ROPIVACAINE HYDROCHLORIDE
205613 001 UCERIS BUDESONIDE
… …
Orange Book-Products
12.2 Pharmacodynamics
Treatment with glucocorticosteroids,
including UCERIS rectal foam, is
associated with a suppression of
endogenous cortisol concentrations
and an impairment of the
hypothalamic-pituitary-adrenal
(HPA) axis function.
DailyMedDrugs@FDA-Products
10/07/2014
APPROVAL_DATE
Product
APPLICANT
Valeant Pharms
Application
205613
APPL_NO
isSponsor

5. ©2020 Cambridge Semantics Inc. All rights
Appl_No Approval_Date Applicant
205613 10/07/2014 Valeant Pharms
212379 10/18/2019 Foamix
… … …
Semantic graph models unambiguously and flexibly
connect data fabric sources
ApplNo ProductNo DrugName ActiveIngredient
205612 007 ROPIVACAINE HYDROCHLORIDE
205613 001 UCERIS BUDESONIDE
… …
Orange Book-Products
12.2 Pharmacodynamics
Treatment with glucocorticosteroids,
including UCERIS rectal foam, is
associated with a suppression of
endogenous cortisol concentrations
and an impairment of the
hypothalamic-pituitary-adrenal
(HPA) axis function.
DailyMedDrugs@FDA-Products
205613
APPLNO
Drug
CONTAINS
BUDESONIDE
ACTIVEINGREDIENT
UCERIS
DRUGNAME
Product
2MG/ACTUATION
STRENGTH
10/07/2014
APPROVAL_DATE
Product
APPLICANT
Valeant Pharms
Application
205613
APPL_NO
isSponsor
Product

6. ©2020 Cambridge Semantics Inc. All rights
Appl_No Approval_Date Applicant
205613 10/07/2014 Valeant Pharms
212379 10/18/2019 Foamix
… … …
Semantic graph models unambiguously and flexibly
connect data fabric sources
ApplNo ProductNo DrugName ActiveIngredient
205612 007 ROPIVACAINE HYDROCHLORIDE
205613 001 UCERIS BUDESONIDE
… …
Orange Book-Products
12.2 Pharmacodynamics
Treatment with glucocorticosteroids,
including UCERIS rectal foam, is
associated with a suppression of
endogenous cortisol concentrations
and an impairment of the
hypothalamic-pituitary-adrenal
(HPA) axis function.
DailyMedDrugs@FDA-Products
205613
APPLNO
Drug
CONTAINS
BUDESONIDE
ACTIVEINGREDIENT
UCERIS
DRUGNAME
Product
2MG/ACTUATION
STRENGTH
ABOUT
Pharmacodynamics
glucocorticosteriods
endogenous
cortisol
SUPRRESION
TREATMENT
10/07/2014
APPROVAL_DATE
Product
APPLICANT
Valeant Pharms
Application
205613
APPL_NO
isSponsor
Product

7. ©2019 Cambridge Semantics Inc. All rights reserved.
An architecture for
modern data
management that
anticipates the need to
connect data across the
business for digital
transformation
Data Fabric: Our Definition
Data management
Metadata/catalog
Data security
Data governance
Data processing
Data quality
Data lineage
Policies
Global distributed platform, in-memory,
embedded, self-service, APIs
Data modeling, preparation, curation,
graph engine
Transformation, integration, cleansing
Hadoop
NoSQL
Spark
Data platform
- processing
Data lake
EDW/BDW
Ingestion, steaming, data movement
Cloud Data sources On-premises
Global data
access
Data
discovery
Data
orchestration
Data processing
and persistence
Data ingestion
and streaming
FORRESTER RESEARCH DATA FABRIC REFERENCE ARCHITECTURE

8. ©2019 Cambridge Semantics Inc. All rights reserved.
Semantics and Graph in the Data Fabric Stack
Data management
Metadata/catalog
Data security
Data governance
Data processing
Data quality
Data lineage
Policies
Global distributed platform, in-memory,
embedded, self-service, APIs
Data modeling, preparation, curation,
graph engine
Transformation, integration, cleansing
Hadoop
NoSQL
Spark
Data platform
- processing
Data lake
EDW/BDW
Ingestion, steaming, data movement
Cloud Data sources On-premises
Global data
access
Data
discovery
Data
orchestration
Data processing
and persistence
Data ingestion
and streaming
FORRESTER RESEARCH DATA FABRIC REFERENCE ARCHITECTURE
Semantics and Graph Data Models
Fit into the Data Discovery and
Integration Layers of the Data
Fabric

9. ©2019 Cambridge Semantics Inc. All rights reserved.
Why use graph data models in an
enterprise data fabric?
To Make Complicated Enterprise Data Simple
To allow data scientists or other data users in the business to see and explore
data from many complex, diverse, and source systems through the lens of a
unified, business oriented data model.
To Connect Data for Findability and Useability
To allow users to blend related data into analytic ready data sets on a self
service on demand basis, even when the data originates in many separate
systems and is physically stored in different and incompatible formats.
To Enable the Analytics Revolution
To massively simplify, accelerate and expand end users use enterprise data to
fuel broader use of analytics and digital transformation.
Forrester Research Data
Fabric Wave (June 2020)
Cambridge Semantics brings graph-driven
data integration to the Enterprise Data Fabric

10. A modern, graph-driven data integration platform for
the enterprise data fabric that accelerates and
automates data delivery.
Anzo lets business users find, connect, and blend
enterprise data into analytic ready datasets.
Model and catalog
enterprise data
Blend and explore
analytic-ready data
products
Manage enterprise-
scale data with agility
and governance

11. ©2020 Cambridge Semantics Inc. All rights
RDBMS/OLTP Big Data / Hadoop Document Repositories
Traditional BI Cloud
CUSTOMERS
PRODUCTS
CLAIMS
COMPOUNDS
onboard
model
blend
access
ANZO IN THE DATA FABRIC
ARCHITECTURE
OVERLAY vs. RIP & REPLACE

12. Anzo Difference:
Graph Data Models & Semantics
Simplifies access to complex data to address
unanticipated questions
Quickly profiles, connects and harmonizes data
from multiple sources, including unstructured
Presents tailored views, services and experiences
to different personas with conceptual models
Flexibly accommodates new data sources
and use cases on the fly, with minimal impact
Scales horizontally to accommodate enterprise
data fabric scale - Cloud agnostic

13. ©2020 Cambridge Semantics Inc. All rights©2018 Cambridge Semantics Inc. All rights reserved.
Which Graph Data Platform for Your Enterprise Data Fabric?
Graph
Algorithms
Transactions
(GOLTP)
Data Integration
& GOLAP
Data Integration
& transformations
(ELT and Feature
Engineering)
Real-time
Complex
Analytics queries
on Small and
Large Data Set
Volumes
Increasing Data Volumes and Complexity
Real-time
Transactions.
Many users.
.
Custom
Graph
Algorithms
Real-time
Analytics on
Small Data
Set Volumes
Query
Scalability of
short, fast,
targeted
queries
.
Graph
Algorithms on
Large Data
Volumes
Data Integration
& GOLAP
Data Integration & data
transformations (ELT and
Feature Engineering)
Real-time Complex
Analytics queries on
Small and Large Data
Set Volumes

14. Catalog and map your existing
data assets – structured or
unstructured.
Translate dataset into graph
models. Add business definitions,
object types, and relationships
with semantics.
Create blended analytic
ready datasets. Connect graph
models. Transform data.
Harmonize into canonical
models.
Analyze data using semantic
and graph models. Export data
and provide services for use
with BI, analytics, and machine
learning tools.
ON-BOARD MODEL BLEND ACCESS

15. Automated Deployment and Operations with Kubernetes
Storage and Compute Integration
MODEL
Graph Data Model
• Lift Data into
Data Fabric
• Design Ontologies
• Connect Data
Models
ONBOARD
Ingest & Map
• Automated ETL
• Collaborative
Mapping
• Metadata
Capture
Enterprise
Data Sources
Machine
Learning and AI
Enterprise
Search
“Last Mile”
Analytics Tools
Metadata Catalog
Semantic-based Metadata Management, Governance, and Lineage
Cloud or On-Prem Data Storage Infrastructure
Data Storage Layer
Ingest
BLEND
GraphMarts
• Combine and Align
Related Data Sets
• In-memory MPP
OLAP Query Engine
• Data Layers
ACCESS
Hi-Res Analytics
• Analyze All
Data Together
• Fast, Iterative Queries
Ad Hoc, What if
• Code-Free or API
Graphical Application Interface
©2020 Cambridge Semantics Inc. All rights reserved.