In this session, you will learn how banks and financial services all over the world are using DataOps tools to: - Comply with GDPR with fully masked test data - Achieve faster environment refreshes - Shift Left with production-like test data - Reduce infrastructure requirements - Enabling continuous integration and continuous delivery

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Ugo Pollio | Solution Engineering Manager | January 2018
DataOps in FS:
enable higher-quality testing +
lower levels of risk

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Delphix Financial Services
2
Banks
Insurance
Financial
Services

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Financial Services Top IT Challenges
3
Do all of the above and reduce costs
Time-to-
market
Cyber
Security
Risk
Management
Cloud
adoption
Regulatory
change

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“Up to 60% of application
development and testing time is
devoted to data-related tasks.”
*Infosys, TDM Strategy survey 2015

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The 2017 State of TDM Survey Findings*
5
13%
Said their organization’s test
environments are insecure or
very insecure
3.5 days
Average time to deliver test data,
from request to fulfillment
20%
Of organizations said test environment
delivery takes over a week
30%
Of testers often use “low-
quality” test data
3.8 people
Average number of hand-offs
required for data delivery
Over 60%
Believe that bad data causes
over 1 out of 10 bugs
*Techwell/Delphix 2017 State of TDM Survey

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In all FS applications, data is the important asset
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Data needs to flow
without constraints

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Massive,
Sprawling Datasets
Increasing
Governance & Risk
Enterprise Silos &
Manual Process
Data-driven
Decisions
Faster Dev &
Deployment
Increased Cloud
Adoption
8

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Develop and test
with production-
like data
Execute projects
without
regulatory risk
Use personal
environments
Not be slowed
by manual
processes
Immediately
access data
Deliver data
in minutes
Manage
hundreds of
copies with
full visibility
Dramatically
reduce storage
overhead
Protect
sensitive data
and centrally
manage
compliance
Manage data
across cloud,
on-premise
and hybrid
environments
What if There Was a Better Way?
DATA CONSUMERS
DATA OPERATORS

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DataOps: A New Approach to Data
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Portable Available Secure

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Applications
Files
Databases
DATA POD
On-Prem
Cloud
CONNECT
API s
VI RTUALI Z E
Sync
Compress
Provision
SECURE
Compliance
Policy
Masking
M ANAGE
Distribute
Audit & Report
Manage
D B A
Developer
QA
Analyst
Data
Scientist
Delphix Dynamic Data Platform
Provide powerful, self-service capabilities
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Personal flexible
data pods for
everyone
• Data pods package together multiple virtual copies
• Self-service controls enable users to manipulate copies at will

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CLOUD
Delphix Platform in Action
Integrated process for secure data distribution
12
ON-PREMISEProduction
Source
DEV
QA• Synchronize with on-prem source
• Compress and mask data
• Replicate secure data to cloud-based instance
• Provision data pods to consumers

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CLOUD
Delphix Platform in Action
Refresh data in minutes
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ON-PREMISE
DEV
QA
REFRESH
• Continuously replicate incremental changes
• Refresh data to reflect latest state of production
Production
Source

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DEV
QA
CLOUD
Delphix Platform in Action
Version data like code
14
ON-PREMISE
BRANCH
• Version data like code
• Create branches to address a specific:
- Application release
- Feature or bug
- Analytics scenario
Production
Source

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DEV
QA
CLOUD
Delphix Platform in Action
Rewind data to any point in time
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ON-PREMISE
REWIND
• Rewind data to prior state, down to the second or transaction
• Rewind after destructive testing or to recover from error
Production
Source

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Accelerate Testing
TEST: 20 MIN TEST: 20 MIN TEST: 20 MIN TEST: 20 MIN
RESTORE:
8 HOURS
-----------------
DBA, Sys Admin
RESTORE:
8 HOURS
-----------------
DBA, Sys Admin
RESTORE:
8 HOURS
-----------------
DBA, Sys Admin
RESTORE:
8 HOURS
-----------------
DBA, Sys Admin
RESTORE:
8 HOURS
-----------------
DBA, Sys Admin
TEST: 20 MIN
RESTORE:
8 HOURS
-----------------
DBA, Sys Admin
TEST:
20 MIN
RESTORE:
10 MIN
“We increased the velocity of our internal testing cycles—not only how quickly
they went, but also the number we could do in a period of time. As a result, we
can introduce capabilities to our business much faster than we were able to
before.”
– Chris Kohl, Chief Information Officer, Vertex
AFTER
Days or
weeks
Minutes

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0
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
Dev QA UAT Production
Bug Discovery Per SDLC Phase
Before After
Improve Application Quality
Shift testing to the left
Find and fix bugs earlier in the overall SDLC

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DevOps Readiness

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• 3-points seat belt invented by Volvo: 1959
• First seat belt law: 1970 – Australia
• Italian regulation:
must be onboard: 1976
obligation to fasten: 1989
GDPR: Fasten your seat belt!
19
0
20
40
60
80
100
1970 - 1980 2000 - 2010 2010 - 2015
Italy: seat belt usage
% of drivers

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Delphix for GDPR
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BREACH
NOTIFICATION
Responsibilities Required Capabilities
PROTECTION
OFFICER
CONSENT
RIGHT TO BE
FORGOTTEN
PROFILING
PROTECTION
CROSS BORDER
TRANSFERS
Program Management
Incident Response
Consent Management
Process
Data Library
Data Discovery
Data Flow Mapping
Controls
Activity Monitoring
Access Control / Audit
Pseudonymization

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Delphix Protects Sensitive Data
“DATA AT RISK”
IS IN
DATABASES
Claimant Table
ID First_Name
1 George
2 Mary
3 John
Employee Table
ID First_Name
5 John
6 George
7 Mary
Claimant Table
ID First_Name
1 Romanth
2 Clara
3 Damien
Employee Table
ID First_Name
5 Damien
6 Romanth
7 Clara
UNMASKED DATA MASKED DATA
✓ REALISTIC
✓ REFERENTIAL INTEGRITY
✓ IRREVERSIBLE ✓ REPEATABLE
SENSITIVE DATA IN PRODUCTION
Social Security Numbers, Credit Card Information, Patient
Information, Email Addresses

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DataOps & Delphix
22
Do all of the above and reduce costs
Accelerate
SDLC
Protect
your data
Reduce
Risk
Migrate to
Cloud
Stay
compliant