Watch full webinar here: https://bit.ly/3H4vrlD Data as a strategic imperative for any company to compete, New common self-service data experience required for all things intelligent, Modern data platform focused on producing data products, Data platform, product, people, process key solution ingredients and Denodo is the future and time is now to get started.

1. Logical Data Fabric: The Future of Data
Management and Analytics

2. #DenodoDataFest
A Data Fabric for all things Intelligent
Director, Solution Architecture
Information & Analytics Group
Mainline
Marc Hobler

3. The Technology Partner for Business Results
A Data Fabric for all
things Intelligent
A ”think different” design strategy
Marc Hobler
Director, Solution Architecture
Information & Analytics Group
marc.hobler@mainline.com
585-280-0799

4. www.mainline.com | 866.490.MAIN(6246)
AGENDA
01 Introduction
02 Data as a Strategic Imperative
03 Modern Data Experience
04 Modern Data Platform
05 Modern Data People
06 Modern Data Process
07 Getting Started
Production of
Data Products

5. www.mainline.com | 866.490.MAIN(6246)
Director, Solution Architecture
Information & Analytics Group
Spent 15 years at Intel working on next generation
app, data and analytics products with Microsoft and
SAP, another 10 years leading enterprise-scale data
and analytics solutions on the IT side and the last 5
years consulting in the very same space.
Proficient in not only latest data and analytics
platform technologies, but the critical people and
process design necessary to realize its full potential.
Introduction
“Vision without execution is hallucination” – Thomas Edison

6. www.mainline.com | 866.490.MAIN(6246)
Data as a Strategic Imperative
* End-user may be internal and/or external customers or partners
Experience
Description
Target
Function
Intellectual
Property
New data experience key to unlocking new levels of innovation
User
Experience (UX)
Immersive, useful,
delightful application
experiences
End-User*
How we uniquely
service the customer
Data
Experience (DX)
Simple, descriptive, interactive
data exploration and
acquisition experiences
End-User*
How we uniquely
look at our business
Computing
Experience (CX)
Flexible, elastic computing
experiences on-premise,
cloud and/or Hybrid
IT
How we uniquely
power our business

7. www.mainline.com | 866.490.MAIN(6246)
Data Exploration
End-user can easily explore,
understand, sample and select data
products for their analytical work
Data Feedback
End-user feedback on the data
design and quality, critical to
improving current and/or future
data products
Data Acquisition
End-user can easily access selected
data products with the analytical
workspace of their choosing
Modern Data Experience
Product-orientation key to designing usable Data Products
On-Premise and/or Cloud Capability
Structured
Data Sources
Unstructured
Data Sources
Streaming
Data Sources
Artificial
Intelligence
Business
Intelligence
Application
Intelligence
Dynamic
Data
Sources
Dynamic
Data
Consumers
Modern Data Experience
Data
Product

8. www.mainline.com | 866.490.MAIN(6246)
A Data Fabric is a design
concept that serves as an
integrated layer (fabric) of
data and connecting
processes.
Gartner, 2021
Modern Data Platform
Platform to scale production of data products over time
Artificial
Intelligence
Business
Intelligence
Application
Intelligence
Structured
Data Sources
Unstructured
Data Sources
On-Premise and/or Cloud Capability
Streaming
Data Sources
Dynamic
Data
Sources
Dynamic
Data
Consumers
Modern Data Platform
Base Layer Semantic Layer
Unified
Data
Security
and
Access
. . .
. . .
Data Subject Area
(Graph)
Logical
Data Warehouses
Logical
Source Schemas
Certified
Data Space
Business Layer
Logical
Data Marts
Denodo
Cache
Data Subject Area
(Flat)
Uncertified
Data Space
Denodo Platform
Denodo
Catalog
Data Subject Area
(Dimensional)
One semantic layer for
“all things intelligent”, designed
for reuse and by consumption
pattern
Accelerate, integrate and
surface “data shopping cart”
concept with clear business
definitions and lineage
Unified access and security
across all consumption
patterns with integrated data
privacy protections
Learn, adapt and evolve
data integration patterns
to always virtualize first,
physicalize last

9. www.mainline.com | 866.490.MAIN(6246)
Modern Data People
People to scale the production of data products over time
Artificial
Intelligence
Business
Intelligence
Application
Intelligence
Structured
Data Sources
Unstructured
Data Sources
On-Premise and/or Cloud Capability
Streaming
Data Sources
Dynamic
Data
Sources
Dynamic
Data
Consumers
Base Layer Semantic Layer
Unified
Data
Security
and
Access
. . .
. . .
Data Subject Area
(Graph)
Logical
Data Warehouses
Logical
Source Schemas
Certified
Data Space
Business Layer
Logical
Data Marts
Denodo
Cache
Data Subject Area
(Flat)
Uncertified
Data Space
Denodo Platform
Denodo
Catalog
Modern Data Platform
Data Subject Area
(Dimensional)
IT Role
Biz Role
Data Administrator
Data
Governor
Data Engineer 1
. . .
Data Engineer n
Business
Analysts
Data
Scientist
App Engineer 1
. . .
App Engineer n
Start Here
Data schema separation from
analytics by design, enabling
true data self-service for any
consumption pattern
Owns data requirements,
testing, quality, expert in
data subject area and usage
including analytics usage
Data Analyst 1
. . .
Data Analyst n
Data architect owns data
models, data integration
patterns, platform
performance and strategy
Owns development and testing
of data integration patterns,
expert in data technologies,
can be elastic resource pool
Owns data platform
management, security, usage
and performance monitoring,
proactive capacity planning
Owns driving standardization of
business definitions and rules,
leads data quality metrics and
initiatives
Owns app development,
consumes data through
a Data Services API
Data Architect

10. www.mainline.com | 866.490.MAIN(6246)
Data Architect
Modern Data Process
Process to scale the production of data products over time
Artificial
Intelligence
Business
Intelligence
Application
Intelligence
Structured
Data Sources
Unstructured
Data Sources
On-Premise and/or Cloud Capability
Streaming
Data Sources
Dynamic
Data
Sources
Dynamic
Data
Consumers
Base Layer Semantic Layer
Unified
Data
Security
and
Access
. . .
. . .
Data Subject Area
(Graph)
Logical
Data Warehouses
Logical
Source Schemas
Certified
Data Space
Business Layer
Logical
Data Marts
Denodo
Cache
Data Subject Area
(Flat)
Uncertified
Data Space
Denodo Platform
Denodo
Catalog
Modern Data Platform
Data Subject Area
(Dimensional)
IT Role
Biz Role
Data Administrator
Data
Governor
Data Engineer 1
. . .
Data Engineer n
Business
Analysts
Data
Scientist
App Engineer 1
. . .
App Engineer n
Data Analyst 1
. . .
Data Analyst n
Agile not waterfall, utilize
uncertified and certified data
spaces to balance agility and
quality respectively
Get data to consumer early
and often in the agile
development, iterate on
requirements and design
Bake data governance right
into agile data development
lifecycle, iterate on data and
metadata simultaneously
Allocate sufficient time during
UAT (User Acceptance Testing)
for performance tuning and
optimization efforts

11. www.mainline.com | 866.490.MAIN(6246)
Getting Started
Denodo Go-Live*
(~ 4 Months)
Denodo POC
(~ 1 Month)
Data Engineering Enablement
Dev, Test, Production Environment
Data Administration Enablement
Denodo POC
$
Start-up
Software
& Services
Data Product 1
Data Operations
Data Product 2
Data Product n
. . .
Customer Expansion
(~ 3 Months / Project)
$
As-Needed
Software &
Services
$
No Cost
Software &
Services
Denodo Mainline Customer
* Enablement includes Denodo
and Mainline applied training
Agile Development Enablement

12. The Technology Partner for Business Results
Please Contact :
Marc Hobler
Director, Solution Architecture
Information & Analytics Group
marc.hobler@mainline.com
585-280-0799

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