Watch full webinar here: https://bit.ly/3aAMTDD It is no more an argument that data is the most critical asset for any business to succeed. While 85% of organizations want to improve their use of data insights in their decision making, according to a Forrester Survey, 91% of the respondents report that improving the use of data insights in decision making is challenging. To make data driven decision, organizations often turn to the data lakes, data lakehouses, cloud data warehouse etc. as their single source data repository. But the hard reality is that data is and will be spread across various repositories across cloud and regional boundaries. Learn from renowned Forrester analyst and VP at Forrester, Noel Yuhanna: - Why Data Fabric Is the best way to unify distributed data - How Data Fabric be leveraged for data discovery, predictive analytics, data science and more - Why data virtualization technology is key in building an Enterprise Data Fabric

1. Delivering Analytics at the Speed of
Transactions with Data Fabric
Noel Yuhanna
Vice President, Principal Analyst

2. Feb 2022
Noel Yuhanna
Vice President, Principal Analyst
Delivering Analytics At
The Speed Of Transactions
With Data Fabric

3. 3
3
© 2021 Forrester. Reproduction Prohibited.
© 2022 Forrester. Reproduction Prohibited.
Data has become the most critical asset for any
business to succeed..
Increase Revenue
Retain Customers
Deliver new products and services
Enable Innovation
51%
Commercializing
data!
Improve customer experience
Expand markets
And more …

4. 4
4
© 2019 FORRESTER. REPRODUCTION PROHIBITED.
91% report that
improving the use
of data insights in
decision making is
challenging.
85% want to
improve their use
of data insights in
their decision
making.
Source: Forrester Analytics Global Business Technographics® Data And Analytics Survey, 2019

5. 5
© 2022 Forrester. Reproduction Prohibited.
Today data is spread across multiple repositories and
locations that creates new data challenges…
5G
Smart
Devices
Edge
Computing
IoT
Sensors
Driverless
Cars
Robots
Social media
SaaS
DaaS providers
Data lakes/DW
Legacy Apps
Data
Cloud
Edge
OnPrem

6. 6
Legacy data architectures are geared towards
slower data movement between analytics
platform which impacts business success…

7. 7
Data Latency – Is slowing down new initiatives!
Transactional Analytical
Operational
Data loading is slow
Delayed Execution
Downtime impact
Old architectures

8. 8
© 2022 Forrester. Reproduction Prohibited.
Positive
Slowing down insights can impact decisions and can
even by harmful to the business ….
Business
value
Time to action
Data
originated
Analytics performed
Insights gleaned
Action
taken
Outdated
insights
Impotent or harmful
actions
Negative
Decision made
Poor decision
Traditional ETL/DI approaches

9. 9
9
© 2019 FORRESTER. REPRODUCTION PROHIBITED.
178% more likely
to grow revenue
2.5 times more
likely to grow
revenue at 20% or
more.
Base: 1,376 global data and analytics decision
Source: Forrester Analytics Global Business Technographics®
Data And Analytics Survey, 2020
Insights-driven firms that take accurate and quicker
decisions are …

10. 10
Businesses need is a new approach to
connect data silos in real-time to
support various applications, insights,
and analytics.

11. 11
© 2022 Forrester. Reproduction Prohibited.
Which of the following are the most important components of your organization's plans for data,
data management in the next 12 months?
Data integration, quality, MDM, governance are most
important components for organizations …
Source: Forrester’s technographics data 2021

12. 12
12
© 2019 FORRESTER. REPRODUCTION PROHIBITED.
Data lakes, EDW haven’t been able to address real-time
insights, all data analytics or deal with multiple workloads…
Streaming Sources
Trans/Oper. Data
External
Source
Click stream
Log stream
Operational
OLTP
Partners
SaaS
Data Lake
Data Warehouse
Data Discovery
BI/Analytics
Usage/Use Case/Delivery
Integration
Enrichment
Metadata
Security
Governance
Classification
Processing
Quality
Multiple Data Lakes
Predictive Analytics
Systems of Insight
Data Science
Customer intelligence

13. 13
13
© 2019 FORRESTER. REPRODUCTION PROHIBITED.
Data virtualization/ Data fabric overcomes the gaps by
leveraging any data in real-time and in a self-service
manner …
Streaming Sources
Trans/Oper. Data
External
Source
Click stream
Log stream
EDW
OLTP
Partners
SaaS
Data Lake
Data Warehouse
Data Discovery
BI/Analytics
Usage/Use Case/Delivery
Integration
Enrichment
Metadata
Security
Governance
Classification
Processing
Quality
Multiple Data Lakes
Predictive Analytics
Systems of Insight
Data Science
Real-Time Analytics
Data Virtualization / Data Fabric

14. © 2021 Forrester. Reproduction Prohibited.
DEFINITION
FORRESTER
“Dynamically orchestrating disparate data sources intelligently
and securely in a self-service and real-time manner and
leveraging various data platforms to deliver integrated and
trusted data to support various applications, analytics, and use
cases”
What is a Data fabric?
© 2021 Forrester. Reproduction Prohibited.

15. 15
15
© 2021 FORRESTER. REPRODUCTION PROHIBITED.
Forrester’s Enterprise Data Fabric Reference Architecture
Data Security
Data Governance
Metadata/Catalog
Data Processing
Data Quality
Data Lineage
Data Management
Global Distributed Platform, In-memory, Embedded,
Self-Service, APIs,
Global Data Access
Data Modeling, Preparation, Curation, Graph Engine Data Discovery
Transformation, Integration, Cleansing
Data Orchestration/Data
Virtualization
Ingestion, Streaming, Data movement
Data Ingestion/Streaming
Data Virtualization
Data Platform –
Processing
Data Processing/
Persistence
Hadoop
NoSQL
Spark
Data Lake
EDW/BDW
On-premise
Cloud Data Sources
Policies
AI/ML
AI/ML
AI/ML
AI/ML
AI/ML
AI/ML
© 2021 Forrester. Reproduction Prohibited.

16. 16
16
© 2021 FORRESTER. REPRODUCTION PROHIBITED.
Data fabric delivers integrated, trusted and real-time data
to support your cloud data strategy for multiple personas
Systems of
Engagement
Systems of
Record
Data Fabric
Sematic Layer
Systems of
Transactions
Data Sources
Catalog
Quality
Metadata
Security
Governance
Models
Transformation
Integration Developers
Data scientists
Data engineers
Security analysts
Business users
Data analysts
Data Architects
Enterprise architects
AWS
Azure
GCP
© 2022 Forrester. Reproduction Prohibited.

17. 17
© 2022 Forrester. Reproduction Prohibited.
Expanding data fabric
Use cases….
•Customer 360 — personalization
•Customer intelligence — for
upsell/cross-sell, targeted marketing
•IoT Analytics
•Risk analytics
•Data science
•Microservices Applications
•Fraud detection
•Industry specific use cases
•And others…

18. 18
© 2021 Forrester. Reproduction Prohibited.
Recommendations
Leverage data virtualization to accelerate data fabric deployments.
Focus on real-time initiatives which is the sweet spot for data fabric.
Create a data fabric team to succeed – Enterprise architects, data architects,
developers, data engineers, data security, business analysts.
Keep security in mind from start when supporting various data sources
especially when dealing with sensitive data.
Leverage data fabric solution to help automate integration, deliver self-service
capabilities, support trusted and real-time customer data initiatives.

19. 19
© 2022 Forrester. Reproduction Prohibited.
Thank You.
Noel Yuhanna
Vice President, Principal Analyst

20. © Copyright Denodo Technologies. All rights reserved
Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and microfilm,
without prior the written authorization from Denodo Technologies.