Watch the full webinar here: https://buff.ly/2FipFSD
Data is fueling a new digital economy and compelling companies to rapidly adopt modern technologies such as Machine Learning, AI and Cognitive Science. Consequently, assembling the right blend of data from disparate sources using agile and flexible techniques like logical data warehousing to create purposeful, accessible insights is one of the greatest strategic tasks before us.
To address the challenges associated with advanced analytics solutions, Neudesic uses a best-fit-engineering approach to enable enterprises to utilize the right tools for the right job to maximize their data and analytics strategy. When helping customers construct architectures that surface more data to an ever-growing number of data consumers without the need for data replication, Neudesic looks to Denodo as its tool of choice.
Join Neudesic and Denodo for an interactive webinar to learn how you can apply data virtualization to your advanced analytics strategy for the purpose of achieving growth objectives.
Register for this webinar to learn:
• Why data virtualization should be part of your advanced analytics strategy.
• How easily your use case will fit one of the numerous architecture patterns Denodo enables.
• How Denodo’s innovative engine offers best of breed data virtualization capabilities, through a product demonstration.
Innovative Data Strategies for Advanced Analytics Solutions and the Role of Data Virtualization
1. DATA VIRTUALIZATION PACKED LUNCH
WEBINAR SERIES
Sessions Covering Key Data Integration Challenges
Solved with Data Virtualization
2. Innovative Data Strategies for Advanced
Analytics Solutions and the Role of Data
Virtualization
Michael Dickson
Senior Sales Engineer, Denodo
Lorrin Ferdinand
Sr. Consultant, Denodo
4. Agenda
Denodo offers a versatile data virtualiztion
plaform that can be applied to a broad range of
data management challenges. As a Denodo gold
partner, Neudesic offers an equally broad range
of data management services through its
Predictive Enterprise Service Line including
expertise on data virtualization using Denodo.
Benefits of Data Virtualization
with Denodo
Architecture Patterns for
Data Virtualization
Case Study
Demo
5. About Neudesic
Founded in
2002
Privately held firm
headquartered in Irvine, Ca
founded by former Microsoft
leaders.
Neudesic has 13 locations in the US and 4 India based
development centers that offers a broad range of strategic
and technology services
GLOBAL TEAM
6. Partners and Awards
Deep Technical Partnership
Microsoft Awards
2017 National Solution Partner
2017 Country Partner of the year-US
2017 Clouds Apps Global Partner of the year
7. Targets For Data-Driven Decisions
Understand Customers,
Markets & Competitors
Refine Operations
& Processes
Improve or Create
Business Models
8. What happened?
D I F F I C U L T Y
VALUE
D E S C R I P T I V E
A N A L Y T I C S
D I A G N O S T I C
A N A L Y T I C S
P R E D I C T I V E
A N A L Y T I C S
Why did it happen?
What will happen?
How can we make it
happen?
P R E S C R I P T I V E
A N A L Y T I C S
H I N D S I G N T
I N S I G H T
F O R E S I G H T
Advanced Analytics
Traditional BI
Data Marts/Reports EDW/Dashboard Data Lakes
Data Siloes Data Governance/MDM Data Drift/Data Swamp
The march towards advanced analytics
9. Why does it take so long to add a data sources?
How should I prioritize new data sources?
I’ve got mountains of data now, how can I make sense
of it all?
Accelerating time-to-value through Data Virtualizatiuon
Taming the explosion of data sources and formats
Enabling Governance and MDM
Challenges of current data
environment
10. Design: Base
Derived Views
Code: Base
Derived Views
Optimize
Faster development time
Turbocharge integration of new
data sources
Accelerate report and dashboard
delivery
Adding a data source:
The traditional way vs. The data virtualization way
Design: ETL
Source/Staging
Design: ETL
Target
Code: ETL
Data Flow
Optimize Data
Flow
Test: ETL Data
Flow
TRADITIONAL
DATA VIRTUALIZATION – 1/3 OF THE TIME
11. Challenges
• New Data formats
• Data Drift
• Data Swamp
Solutions
• Single point of data access
over n data sources
• Leave the data where it is
• Harvest the swamp!
Proliferation of complex data
sources
12. Challenges
• Single purpose data flows
• What is a customer?
• Data quality
Solutions
• DV as an aid to Data
Governance
• DV as an aid to MDM
• DV as an aid to Data Quality
Taming the modern analytic platform
Web
DB
DB
Data Mart
Business Users
Dashboard
Consumers
Data Mart
Business Users
Report
Data
Warehouse
Employees
Mobile
App
IoT Device
Data Lake
MODERN REALITY
Web
DB
DB
Data Mart
Business Users
Dashboard
Consumers
Data Mart
Business Users
Report
Data
Warehouse
Employees
THE GOOD OL’ DAYS
16. Big Data
Analytics Sandbox
Data
warehousing Data
Virtualization
Data
visualization
Data LakesData Lakes
Data
warehousing Data
Virtualization
Data
visualization
Data Lakes
Data
warehousing Data
Virtualization
Data
visualization
Data Lakes
Data
warehousing Data
Virtualization
Data
visualization
Data Lakes
17. Big Data
Logical Data Lake
Data
warehousing
Data
Virtualization
Data
visualization
Data Lakes
Big Data
Data
warehousing
Data
Virtualization
Data
visualization
Data Lakes
Big Data
Data
warehousing
Data
Virtualization
Data
visualization
Data Lakes
Big Data
Data
warehousing
Data
Virtualization
Data
visualization
Data Lakes
Big Data
18. Enterprise Integration & MDM
Data Services
Internal
Enterprise
Apps
Partner
Enterprise
Apps
Data
Virtualization
Data
visualization
Partner Apps
Internal
Apps
Web App
Web App
Cloud
apps
Mobile
App
Internal
Enterprise
Apps
Partner
Enterprise
Apps
Data
Virtualization
Data
visualization
Partner Apps
Internal
Apps
Web App
Web App
Cloud
apps
Mobile
App
Internal
nterprise
Apps
Partner
nterprise
Apps
Data
Virtualization
Data
visualization
Partner Apps
Internal
Apps
Web App
Cloud
appsMobile
App
Web App
Cloud
apps
Mobile
App
19. Enterprise Integration & MDM
MDM
Single view
of Customer
Enterprise
Apps
Social Media
& Public
Data Internal
Apps
Data
visualization
Customer
Orders
Support
SocialMedia/
Reviews
Web
Mobile
Retail
Web App
Cloud
apps
Mobile
App
Single view
of Customer
Enterprise
Apps
Social Media
& Public
Data Internal
Apps
Data
visualization
Customer
Orders
Support
SocialMedia/
Reviews
Web
Mobile
Retail
Web App
Cloud
apps
Mobile
App
Single view
of Customer
Enterprise
Apps
Social Media
& Public
Data Internal
Apps
Data
visualization
Customer
Orders
Support
SocialMedia/
Reviews
Web
Mobile
Retail
Web App
Cloud
apps
Mobile
App
20. Gaming and Entertainment
Leader
• Manage Transition from old to new internal applications
• Drive a common integration layer to define canonical
business entities across old and new.
• Expose canonical entities to other internal applications
• Denodo and MDM
• Data as a service
22. 22
Demo Architecture
What’s the impact of a new
marketing campaign for each
country?
▪ Historical sales data offloaded
to Hadoop cluster for cheaper
storage
▪ Marketing campaigns managed
in an external cloud app
▪ Country is part of the customer
details table, stored in the DW Sources
Combine,
Transfor
m
&
Integrate
Consume
Base View
Source
Abstraction
join
group by
state
join
Sales Campaign Customer
25. Why data virtualization should be part of your
Advanced Analytics Toolset?
Key Takeaways
• Remember that denodo can shave
2/3 off of your data movement
projects.
• 90% of data consumers only want to
see current data.
• Neudesic is in the field every day
seeing opportunities in which data
virtualization is the right choice.
Denodo and Neudesic
accelerate your digital
transformation
• Denodo excels in operational
use cases, think of MDM or
data-as-a-service.
• Denodo also excels in big
data, data warehousing, and
in feeding machine learning
and AI models.
Denodo is
Versatile
• Neudesic is a thought leader in
Advanced Analytics and a partner to
the superstars across the technology
landscape.
• Neudesic’s best-fit engineering
approach towards Advanced.
You need a partner on your
journey towards advanced
analytics
29. Next session
Stay Ahead of the Pack with Data
Virtualization in the Cloud
Thursday, November 15, 2018 | 11:00 AM PT / 2:00 PM ET
Mitesh Shah
Sr. Cloud Product Manager, Denodo