Hybrid Cloud Use Cases and Disaster Recovery scenarios in Analytical Ecosystems

1. 1
Cloudy With A Chance Of Agility
Celia Muriel, Architecture Center of Expertise
April, 2017

2. 2
Introduction
In this session, we’ll be looking at the Teradata Cloud options available
today. We’ll examine use cases that can help you build a Hybrid Cloud
architecture, enhancing business flexibility and technical agility for the
future.
© 2017 Teradata

3. 3
Speaker
Celia Muriel
Architecture Center of Expertise
© 2017 Teradata
Since joining Teradata in 2008, I have developed an extensive technical knowledge and experience in Solution
Architecture supporting both pre and post sales activities.
As a current member of the Architecture COE within the International Region, I have deployed my experience through
the provision of subject matter expertise to international blue chip organisations and through collaboration with
Teradata Engineering and the Global Consultancy team.
I have a wide working knowledge of the Teradata suit of products, including the Teradata database, on Analytical
Ecosystems, coexistence and migrations, disaster recovery, both on-premises and in different cloud environments, i.e.
hybrid, public, private clouds, and IntelliCloud. Technical expertise in Performance and Capacity Planning.

4. 4
Agility and Utilization
To understand the full value of
Cloud, you must look beyond costs
considerations and assess the other
value drivers at play
Business Value
© 2017 Teradata

5. 5
Hybrid Cloud – Enabled By Teradata Everywhere™
IntelliCloud
IntelliFlex
|IntelliBase | AWS
| Azure
Just bring data. We’ll
take care of the rest
Public Cloud
AWS | Azure
Less-resource
intensive or non
critical workloads, e.g,
test, development, or
non critical analytics.
External applications
Private Cloud
VMware
Data which must
remain in a
geographical area.
External applications
On-Premises
IntelliFlex |
IntelliBase
Data which must
remain in a
geographical area or
critical workloads
© 2017 Teradata
High-Level Guideline to Choose Among Deployment Options

6. 6
Cloud Suitable Workloads
Data Integrity
Can the data be split or it must stay
consolidated?
Data Source
Is the source of data nearby?
Users
Where are the users/ clients located?
Dependencies
Are there any data and application
dependencies?
Service Level Agreement
Is a critical application?
Return of Investment
Does the solution provide with a benefit
which justifies the cost?
Security
What are the security policies and
regulations?
Data Movement
What is the initial load and daily transfer?
© 2017 Teradata

7. 7 © 2017 Teradata
Hybrid On-Premise and Cloud Mix
Engineered Platforms
On-Premise (Data Centers)
Cloud (Public or Private
Cloud)
Big Data
Lake
Production
Enterprise
DI + DW
Production
Enterprise BI
Production
Data
Science
Labs
Dev /
Test
External
Applications
Business Users
Advance Analytics &
Data Scientists
IT
Customers,
Business Partners
Advance
Analytics Apps

8. 8
Data
Science
Labs
© 2017 Teradata
Technology Map
Hybrid Architecture
Cloud (Azure, AWS,
VMware)
Big Data
Lake
Production
Enterprise
DI + DW
Production
Enterprise BI
Production
External
Applications
Business Users
Advance Analytics &
Data Scientists
IT
Customers,
Business Partners
Advance
Analytics Apps
Engineered Platforms
On-Premise (Data Centers)
Dev /
Test

9. 9 © 2017 Teradata
Growth for Selected Workloads – Past & Future
Enterprise BI Production
DW & Data Lake Production
Analytical Production
Development | Test,
Data Science Labs,
External Analytical
Applications
OnPremiseCloud
today
5yearsago
In5years
* FBR = Finance Business Revenue
FBR-driven
DW + BI Production

10. 10
Sources of Data
Core business
entities
Reference Data
Offer codes, places, regions, bill
of materials, chart of accounts
Transactional Data
Events. Financial, logistical or
work-related
Sequence
of numbers
© 2017 Teradata
Master Data
Time-Series Data

11. 11
More Sources of Data
Fingerprints
of humans
Document Data
Type of document, key, author,
creation date
Relationship Data
Social networks, configuration
and assembly information for IoT
Image, text
or audio
Geospatial Data
Geographic perimeters,
weather
© 2017 Teradata
Media Data
Behavioural Data

12. 12
Internet of Things
Example of Source of Data
© 2017 Teradata
Devices Connectivity
Integration
Middleware
Storage
on the
Cloud
EnterpriseStorage
on-prem
Cloud Foundry
The final place where
data is located depends
on where it is going to be
consumed

13. 13
Active On-Prem, Disaster Recovery on the Cloud
Local DR
Each data center on-
prem can be replicated
on a data center in the
Cloud – Private or Public
Clouds, or Teradata’s
Managed Cloud.
Data is not replicated
outside these 2 data
centers
© 2017 Teradata
DR on Cloud
5+3hsn * 6750
8+4hsn * 6700
DR on Cloud
DR on Cloud
8+1b IFX1.0
DR on Cloud
27n * 2650
8+4hsn * 6700
DR on Cloud12n * 2850
DR on Cloud
2+1hsn * 6750
DR on Cloud
2(6+1-1)b IFX1.0
DR on Cloud
DR on Cloud
5+1+2i IFX1.1
DR on Cloud
6+3hsn * 6700
4n * 2750
DR on Cloud2n * 2700
DR on Cloud
2+1hsn * 6750H
DR on Cloud
DR on Cloud
4+1i IFX1.0

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Local Provisioning of a Services
“Island” Resiliency
© 2017 Teradata
Regional
containment
Each site is isolated from
the others
DR on Cloud
5+3hsn * 6750
8+4hsn * 6700
DR on Cloud
DR on Cloud
8+1b IFX1.0
DR on Cloud
27n * 2650
8+4hsn * 6700
DR on Cloud12n * 2850
DR on Cloud
2+1hsn * 6750
DR on Cloud
2(6+1-1)b IFX1.0
DR on Cloud
DR on Cloud
5+1+2i IFX1.1
DR on Cloud
6+3hsn * 6700
4n * 2750
DR on Cloud2n * 2700
DR on Cloud
2+1hsn * 6750H
DR on Cloud
DR on Cloud
4+1i IFX1.0

15. 15
Make Analytical
Applications with value
for the full organization
available through the
Cloud.
The critical workloads
and data which must
remain in a geographical
area must stay in the
local data center
Global Services
Leverage Cloud Capabilities
© 2017 Teradata
Analytical
Applications

16. 16
Several Cloud Regions
© 2017 Teradata
The sites are bundled into
several Cloud Regions,
which provide them with
services

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Cross-Region Replication
Global Resiliency
© 2017 Teradata
The regions are
replicated to achieve a
multi-step failover model

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Cross-Region Replication
Global Resiliency
© 2017 Teradata
Ubiquity, resiliency,
efficiency
If one region fails, the
traffic is re-route to other
regions

19. 19
100% Pure Cloud
Analytical
Ecosystem
Focus on core
business
Reduce pressure on IT
department.
Positive customer support
experiences.
No-tight SLAs
© 2017 Teradata

20. 20
100% Pure Cloud
Resilient
Architecture
Use at least two Cloud
regions, and replicate
them to achieve a multi-
step failover model
© 2017 Teradata
Analytical
Ecosystem

21. 21
100% Pure Cloud
Survive Regional
Service Outage
Active-active data
replication
If one region fails, the
traffic is re-route to other
regions
© 2017 Teradata
Analytical
Ecosystem

22. 22
Active and Disaster Recovery On-Prem
Example of Testing Environment in the Cloud
© 2017 Teradata
Data Center 1
DWH1 6750
TD 15.0
DWH2 6750
TD 15.0
Data Center 2
Data Mover
15.0
Viewpoint
15.0
Data Mover
15.0
Viewpoint
15.0
No testing facility
for Data Mover
Planned upgrade for
Teradata 15.10 is a risk to
the Data Warehouse
service due to no testing
taking place

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Migration Tests in the Cloud
© 2017 Teradata
Test Teradata/Data Mover 15.10 in the
Cloud using a representative amount of
business data, objects and scripts
Data Center 1
DWH1 6750
TD 15.0
DWH2 6750
TD 15.0
Data Center 2
Data
Mover
15.0
Viewpoint
15.0
Data
Mover
15.0
Viewpoint
15.0
Virtual Machine
TD 15.10
Virtual Machine
TD 15.10
Viewpoint
15.10
Data Mover
15.10
Linux
server

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Seasonal Increase of Capacity
© 2017 Teradata
One TD 15.10 system
4 virtual nodes
Data Center
DWH 6800
TD 15.10
Data Mover
15.10
Viewpoint
15.10
Move additional workload
to the Cloud
During seasonal peaks when there is
extra workload.

25. 25
Key Points
When Architecting a Hybrid Cloud Ecosystem
Access &
Interaction
API compatibility
and solid network
connectivity to
connect private
cloud | on-prem
| public cloud
Cloud
Capabilities
Develop for the
Cloud to better
use its capabilities
Security &
Regulations
Wisely plan
security so it is not
in the way of
agility and
flexibility
Design &
Architect
For an efficient
cost
management and
an adequate
network
Service Model
Do-It-For-Me or
Do-It-Yourself
© 2017 Teradata

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THANKS FOR
YOUR TIME
THANKS FOR
YOUR TIME
© 2017 Teradata