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QA Challenges in
Data Integration Projects &
iCEDQ Software
Data Warehouse | ETL | Data Migration | Data Lake | MDM
ETL Testing & Monitoring Platform
The QA Challenge
Lack of Automation
Lack of Agility
Clutter
No Test Driven Development
Lack of Regression Testing
Data Warehouse | ETL | Data Migration | Data Lake | MDM
www.icedq.com
vs. iCEDQ has in-Memory Rules Engine
 Tests ETL processes by
Validating the output data
Validation Rule
Reconciliation Rule
 Tests ETL Transformations by
Reconciling Source Data Vs. Target Data
ETL
 Too many tools – Excel, SQL,
Scripting
 Not repeatable and consistent
 Can’t test Millions of rows
 Forced to do sampling
 Time wasted in coding rather than
testing
 Disorganized
 Time & resource consuming
iCEDQ Shift
www.icedq.com
Waterfall SDLC vs. Agile
iCEDQ Shift
www.icedq.com
Clutter vs. Organized & Documented
START
Business
Requirements
Test Results
Workflow
QA Dashboard
Audit (Testing)
Requirements
Audit Rules &
Scripts
Test Cases
iCEDQ
Repository
iCEDQ Shift
www.icedq.com
Conventional
Waterfall SDLC vs.
 Testing is too late in the project. 8th Step!
 QA team sitting idle for developers to finish
 Last minute rush
Step 1. Get
Requirements
Step 2.
Design the
Tables
Step 3 Create
Data Mapping
Step 4.
Develop ETL
Code
Step 5. Get
Test
Requirements
Step 6. Write
Test Cases
Step 7. Write
Physical Test
Step 8. Test
Step 9.
Deploy
Step 1. Get
Requirements
Step 2.
Design the
Tables
Step 3
Create Data
Mapping
Step 4.
Develop
ETL Code
Step 5.
Test
Step 6.
Deploy
7 8 9
Refactor
Reduce
timeline by 33%
Step 5. Get Audit
Requirements
Step 6. Write
Test Cases
Step 7. Create
Physical Rules
 iCEDQ enables Test First Approach
 Test Driven Development - TDD
 Lift n’ Shift the QA to the beginning of projectiCEDQ -TDD
iCEDQShift
www.icedq.com
Quality
?
Star
t
QA QC
Regression Testing &
Release Management
Conventional data
integration testing lacks…
 Tools for regression
testing
 Sign-Off & release
management
 Continues Build
Management
 Quality Control
iCEDQ
iCEDQ Shift
Business Requirements
Audit Requirements
Test Cases
Regression Testing
Deployment
Release
Management
Quality Control &
Production Monitoring
Source Sys. Biz. Users Management
www.icedq.com
Why
iCEDQ?
 Automation
 Test high volume of data
 Regression Testing
 Need Agile and/or Test Driven Development
 Lower Project Risks & Cost
 Improve Productivity
 Compliance
 Security
 Organized & Collaborative
 Reporting, Dashboard & Notification
 Transparency & Feedback
 Shrink Project Timeline
Data Warehouse | ETL | Data Migration | Data Lake | MDM
www.icedq.com
1x
100x
10,000x
Save $$$$$$
Early is Better!
CostofDelay$
Time 
www.icedq.com
iCEDQ SERVER
iCEDQ Architecture
Audit Rules Engine
iALMiGOVERNiQAiAUDIT Scheduler
Repository
SQL Server |Oracle
Configuration
Files
Parameter
Files
Log Files
Data
Exceptions
Files
GUI Web Service CLI/Shell RPC Report
JDBC
Text
File
Cobol*
Other
Files
Mainframe*
Data Adapters
Oracle | SQL
Server | Redshift |
DB2 | My SQL |
Netezza |…
Hadoop HIVE | HP
Vertica
XML | EDI | JSON
CSV | Fixed Width
| Excel
Cobol Files
ISAM | KISM |
KSDS | QSAM
|VSAM
BIG DATA
Redshift,
HADOOP, Hive,
S3, HP VERTICA,
Cassandra,
MONGODB,
HDFS…www.icedq.com
Who uses iCEDQ?
 Stock Exchange
 Banks
 Insurance
 Manufacturing
 Healthcare
 E-Commerce
 Manufacturing
 …
www.iCEDQ.com
game changer:
noun
a newly introduced element or factor that changes an existing
situation or activity in a significant way
ETL Testing & Monitoring Platform
- Merriam Webster
www.iCEDQ.com

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QA Challenges in Data Integration

  • 1. QA Challenges in Data Integration Projects & iCEDQ Software Data Warehouse | ETL | Data Migration | Data Lake | MDM ETL Testing & Monitoring Platform
  • 2. The QA Challenge Lack of Automation Lack of Agility Clutter No Test Driven Development Lack of Regression Testing Data Warehouse | ETL | Data Migration | Data Lake | MDM www.icedq.com
  • 3. vs. iCEDQ has in-Memory Rules Engine  Tests ETL processes by Validating the output data Validation Rule Reconciliation Rule  Tests ETL Transformations by Reconciling Source Data Vs. Target Data ETL  Too many tools – Excel, SQL, Scripting  Not repeatable and consistent  Can’t test Millions of rows  Forced to do sampling  Time wasted in coding rather than testing  Disorganized  Time & resource consuming iCEDQ Shift www.icedq.com
  • 4. Waterfall SDLC vs. Agile iCEDQ Shift www.icedq.com
  • 5. Clutter vs. Organized & Documented START Business Requirements Test Results Workflow QA Dashboard Audit (Testing) Requirements Audit Rules & Scripts Test Cases iCEDQ Repository iCEDQ Shift www.icedq.com
  • 6. Conventional Waterfall SDLC vs.  Testing is too late in the project. 8th Step!  QA team sitting idle for developers to finish  Last minute rush Step 1. Get Requirements Step 2. Design the Tables Step 3 Create Data Mapping Step 4. Develop ETL Code Step 5. Get Test Requirements Step 6. Write Test Cases Step 7. Write Physical Test Step 8. Test Step 9. Deploy Step 1. Get Requirements Step 2. Design the Tables Step 3 Create Data Mapping Step 4. Develop ETL Code Step 5. Test Step 6. Deploy 7 8 9 Refactor Reduce timeline by 33% Step 5. Get Audit Requirements Step 6. Write Test Cases Step 7. Create Physical Rules  iCEDQ enables Test First Approach  Test Driven Development - TDD  Lift n’ Shift the QA to the beginning of projectiCEDQ -TDD iCEDQShift www.icedq.com
  • 7. Quality ? Star t QA QC Regression Testing & Release Management Conventional data integration testing lacks…  Tools for regression testing  Sign-Off & release management  Continues Build Management  Quality Control iCEDQ iCEDQ Shift Business Requirements Audit Requirements Test Cases Regression Testing Deployment Release Management Quality Control & Production Monitoring Source Sys. Biz. Users Management www.icedq.com
  • 8. Why iCEDQ?  Automation  Test high volume of data  Regression Testing  Need Agile and/or Test Driven Development  Lower Project Risks & Cost  Improve Productivity  Compliance  Security  Organized & Collaborative  Reporting, Dashboard & Notification  Transparency & Feedback  Shrink Project Timeline Data Warehouse | ETL | Data Migration | Data Lake | MDM www.icedq.com
  • 9. 1x 100x 10,000x Save $$$$$$ Early is Better! CostofDelay$ Time  www.icedq.com
  • 10. iCEDQ SERVER iCEDQ Architecture Audit Rules Engine iALMiGOVERNiQAiAUDIT Scheduler Repository SQL Server |Oracle Configuration Files Parameter Files Log Files Data Exceptions Files GUI Web Service CLI/Shell RPC Report JDBC Text File Cobol* Other Files Mainframe* Data Adapters Oracle | SQL Server | Redshift | DB2 | My SQL | Netezza |… Hadoop HIVE | HP Vertica XML | EDI | JSON CSV | Fixed Width | Excel Cobol Files ISAM | KISM | KSDS | QSAM |VSAM BIG DATA Redshift, HADOOP, Hive, S3, HP VERTICA, Cassandra, MONGODB, HDFS…www.icedq.com
  • 11. Who uses iCEDQ?  Stock Exchange  Banks  Insurance  Manufacturing  Healthcare  E-Commerce  Manufacturing  … www.iCEDQ.com
  • 12. game changer: noun a newly introduced element or factor that changes an existing situation or activity in a significant way ETL Testing & Monitoring Platform - Merriam Webster www.iCEDQ.com