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Similaire à Pre-Con Ed: High Performance Masking and Test Data Generation for IMS and DB2 (20)
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Pre-Con Ed: High Performance Masking and Test Data Generation for IMS and DB2
- 6. 6 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD
CA-Test Data Manager Deployment & Process
1. Centralize
2. Discover
3. Subset
4. Mask
5. Synthesize
6. Find & Reserve
7. Automate
Synthetic/Clone Data
Masked
Subset
Created
Production
Development
Web - SOA Test Harness
Virtualization
Data Masking
Subsetting/Data Slicing
Data Profiling
Coverage Metrics
Agile-Designer
Test Design
Data Design
Test Data on Demand
UI - Load Test Harness
Test Mart
Find and Reserve
REQUEST/RESPONSE POOLS
VERSION CONTROLEXPECTED RESULTS
REGRESSION PACKS
DATA DRIVEN TEST PACKS
TEMPLATES
Agile-DataHP ALM/QC
Automation
Data Visualization
Javelin –Data Orchestration
- 9. 9 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD
End-End Integrity
§ Across multiple source (and platforms!)
– z/Series: DB2, IMS, VSAM (KSDS, ESDS, etc.) or flat files (PS) etc.
– i/Series – AS400: DB2/400
– Distributed: Oracle, SQL Server, DB2 UDB etc.
– File structures: CSV, Excel, XML, SOAP, REST, JSON etc.
Maintaining database, business and logical integrity
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.
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
- 13. 13 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD
De-sensitize millions of rows of referentially intact data in minutes
CA Test Data Manager Fast Data Masker
These include substitution, randomization, hashing and seed
data. Once created, masking rules can be stored and re-used
from a central repository.
GT Fast Data Masker will only display suitable masking routines,
based on the selected column and tables
Deterministic masking functions and built-in cross-referencing
ensure consistency. The referentially intact, realistic data, can be
injected into multiple systems at once
Number of Rows Time to Mask
201,722,392 9 minutes, 42 seconds
453,877,152 11 minutes, 22 seconds
768,088,071 7 minutes, 57 seconds
17,422,541 1 minute
46,579,485 1 minute, 25 seconds
1,759,612 13 seconds
47, 895 5 seconds
GT Fast Data Masker uses native database scripts to
produce the highest possible performance when masking
Oracle, MS Server, Teradata and mainframe platforms
§ Mask millions of rows of data in
minutes using native masking engines
§ Over 80 built-in data masking functions
§ Replacements with realistic,
referentially intact, applied to multiple
systems
§ Demonstrate Compliance with the EU
GDPR, GLBA, HIPAA, PCI DSS, PIPEDA,
and more