How Can Test Data Management Overcome Mainframe Testing Challenges?

How Can Test Data Management Overcome
Mainframe Testing Challenges?
Tom Finch
DevOps: Continuous Delivery
CA Technologies
Sr. Consultant, Presales
DO4X140S
@CAWorld
#CAWorld
Andrew Chapman
CA Technologies
VP, Product Management

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For Informational Purposes Only
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Abstract
How a sophisticated, end-to-end test data
management strategy can be used to reduce
infrastructure costs and mitigate risk while
providing testers with all the data they need,
when they need it.
Tom Finch
CA Technologies
Sr. Consultant Pre-sales
Andrew
Chapman
CA Technologies
VP, Product
Management

Agenda
WHAT IS TEST DATA MANAGEMENT (TDM)?
WHY IS TDM NEEDED?
SUMMARY
CA TEST DATA MANAGER
SUBSETTING AND MASKING
DATA GENERATION
1
2
3
4
5
6

What is Test Data Management (TDM)?
‘… is the practice of applying a structured and
centralized approach to the management of test data at
an enterprise level, in order to reduce cost whilst
increasing efficiency and quality in development and
testing’

Why do we need to Mask or Generate Data on the Mainframe?
1. Copying production data risks non-compliance
2. The data is not of sufficient quality for testing
3. The way it is stored and provisioned is
inefficient, in terms of time and cost
4. Manual data creation is slow and error prone

Using production data in testing is expensive, typically covers just 10-20% of the tests needed
and risks exposing sensitive data.
 Masking production data replaces sensitive data with equivalent but safe values
 Subsetting reduces infrastructure costs and provides an intelligent spread of data
 Generating “synthetic data” lets you quickly create smaller, more intelligent test data sets
which safely, provide maximum coverage and are reusable
 Security teams are pushing for engineering to have ‘Live Data Exception’ model
CA TDM, how it can help

Data Subsetting and Masking
 Take subset of data – e.g. DB2 or IMS
CustID Name SSN Street
08052 Andrew Chapman 181-23-7171 87 Featherbed Lane
09112 Brian James 112-32-4435 12 Park Lane
08052 Andrew Chapman 181-23-7171 87 Featherbed Lane
07221 Tom Angle 771-11-8972 8 Boardwalk
CustID Name SSN Street
10000 Hikaru Sulu 545-95-1245 87 Featherbed Lane
10001 Nyota Uhura 802-41-3411 12 Park Lane
10000 Hikaru Sulu 545-95-1245 87 Featherbed Lane
10002 Pavel Chekov 325-74-6517 8 Boardwalk
CustID Item# Order Date
07221 80-25442 2015-01-25
07221 80-25442 2015-03-14
CustID Item# Order Date
10002 80-25442 2015-02-15
10002 80-25442 2015-05-19
Data retains structure, context and referential
integrity but does not contain “real” information.
Data masking is a mandatory operation for modern organizations. The
average cost per incident of data breach worldwide is $3.5m. In the
US, the risk was as high as $5.85m1.
In as many as 59% of these incidents, the risk could have been
mitigated by implementing best practices in masking sensitive data
and personally identifiable information.
1 Ponemon Institute, 2014
CA TDM allows users to mask data directly on the mainframe reducing
the reliance on slow, expensive Extract, Transform and reload
technologies to secure sensitive data and ensure compliance.
Masking the data directly on the mainframe can provide teams with
millions of rows of high quality, meaningful, referentially intact data,
in a matter of minutes!

Production data sources
and files
Validation
Profiling
PII Discovery
Data Subset
CA TDM
1 2 3
Secure Data
Subsets
Test/Dev
Environments
Subset
SubsetSubset
DefinitionCustom Masking
Functions
Masking
Rules
Native Engines run on
mainframe
DB2 z/OS
DB2 UDB
VSAM
ISAM
IMS
non-indexed flat files
FTP
Efficient and effective data masking and subsetting

“Empty”
Provision fit for purpose data anytime and every time!
Provision data with or without access to production systems!
Ready for Testing!
1. Automatically profile data, model it, and accurately measure its coverage
2. Generate rich synthetic data from out of the box functions which provides 100% coverage
3. Cover every outlier, unexpected result, boundary condition and negative path
4. Create thousands of rows of complex, inter-related data in minutes
Synthetically generate all the data you need

Substitution Variables
Combinable Functions
CA TDM
Data Model
Generation
Bulking Scripts
Test
Data
Warehouse
Test/Dev Environments
1 2
4 5
Secure Data sets
3
6
Production data sources
and files
DB2 z/OS
DB2 UDB
VSAM
ISAM
IMS
non-indexed flat files
Synthetic Data Generation

Full enterprise Coverage, Mainframe and Distributed
 Mainframe:
– DB2 z/OS
– DB2 UDB
– VSAM
– ISAM
– IMS
– non-indexed flat files

CA Test Data Manager
The CA Test Data Management application suite can:
 Profile, subset and mask data
 Create synthetic data
– Create synthetic data on demand via web portal
 Optimize test cases
– Match test case criteria to existing data (Test Matching)
– Analyze the coverage of the existing data (Data Coverage)

Q & A

Recommended Sessions
SESSION # TITLE DATE/TIME
DO4X142S
Move as Fast as Your Users with Mobile Test
Automation
11/19/2015 at 4:30pm
DO3T22S DevOps for a 10-Year-Old (Codebase) 11/19/2015 at 4:30pm
DO4X130S
Syntel's approach to Automated Testing Enabling
DevOps
11/19/2015 at 4:30pm

Must-See Demos
Test Data
Manager
DevOps
Theater 4
DevOps Sim
DevOps
Theater 3
Test Case
Optimizer
DevOps
Theater 4
TDM
Integrations
DevOps
Theater 4

Follow On Conversations At…
Smart Bar
DevOps
Theater 4
Tech Talks
DevOps
Theater 4

For More Information
To learn more, please visit:
http://cainc.to/Nv2VOe
CA World ’15

How Can Test Data Management Overcome Mainframe Testing Challenges?

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