SlideShare a Scribd company logo
ETL
TESTING
BugRaptors
SAFEGUARD YOUR DATA WITH
Data Warehouse Testing is a testing method in
which the data inside a data warehouse is tested for
integrity, reliability, accuracy and consistency in
order to comply with the company's data
framework.
DATA
WAREHOUSE
TESTING
The main purpose of data warehouse testing
is to ensure that the integrated data inside
the data warehouse is reliable enough for a
company to make decisions on.
WHY: DATA
WAREHOUSE TESTING?
WHAT PROBLEM IT WILL SOLVE?
ETL testing is done to ensure that the data that has
been loaded from a source to the destination after
business transformation is accurate. It also
involves the verification of data at various middle
stages that are being used between source and
destination.
ETL TESTING
• Identifying data sources and requirements
• Data acquisition
• Implement business logics and dimensional
Modelling
• Build and populate data
• Build Reports
ETL TESTING PROCESS
Calculation Bug
TYPES OF ETL BUGS
BVA Related Bug
User interface Bug
Load condition Bug
Source Bug
Version control Bug ECP Related Bug
Hardware Bug
Input/output Bug
Race Condition
• Make sure data is transformed correctly
• Without any data loss and truncation projected data
should be loaded into the data warehouse
• Ensure that ETL application appropriately rejects
and reports invalid data
• Need to ensure that the data loaded in data
warehouse within prescribed and expected time
frames to confirm scalability and performance
• All methods should have appropriate unit tests
• All unit tests should use appropriate coverage
techniques
• Create unit tests that target exceptions
BEST PRACTICES
CHALLENGES
• Data that is lost or corrupted during migration.
• Limited availability of source data.
• Underestimating data transformation requirements.
• Duplicate or incomplete data.
• Large volume of historical data that makes ETL testing in
target system difficult.
• Unstable testing environment.
• Outdated ETL tools in use.
TESTING TOOLS
• Informatica Data Validation
• RightData
• QuerySurge
• Xplenty
• Talend Open Studio for Data Integration
• Datagaps ETL Validator
• TestBench
• DbFit
KEY ASPECTS
DATA TRANSFORMATION TESTING
DATA QUALITY TESTING
PERFORMANCE TESTING
PRODUCTION VALIDATION TESTING
SOURCE TO TARGET COUNT TESTING
DATA & CONSTRAINT CHECK
APPLICATION MIGRATION TESTING
DUPLICATE DATA CHECKING
Read More
Data warehouse Testing
Connect with BugRaptors
ARE YOU READY TO SAFEGUARD YOUR DATA?
WHY BUGRAPTORS?
BugRaptors assure that your database get easily adapt with the latest performance and
security upgrades. Our systematic approach will keep your covered at all places. We
ensure end-to-end specialized ETL testing services to assist businesses attain a
comprehensive vision of their data status.
COME IN FOR A CHAT!
5858 Horton Street, Suite 101, Emeryville,
California, USA
MAIN BRANCH ADDRESS
240 241 6894
PHONE NUMBER
info@bugraptors.com
EMAIL ADDRESS
www.bugraptors.com
THANK YOU

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ETL Testing Services - Safeguard Your Data

  • 2. Data Warehouse Testing is a testing method in which the data inside a data warehouse is tested for integrity, reliability, accuracy and consistency in order to comply with the company's data framework. DATA WAREHOUSE TESTING
  • 3. The main purpose of data warehouse testing is to ensure that the integrated data inside the data warehouse is reliable enough for a company to make decisions on. WHY: DATA WAREHOUSE TESTING? WHAT PROBLEM IT WILL SOLVE?
  • 4. ETL testing is done to ensure that the data that has been loaded from a source to the destination after business transformation is accurate. It also involves the verification of data at various middle stages that are being used between source and destination. ETL TESTING
  • 5. • Identifying data sources and requirements • Data acquisition • Implement business logics and dimensional Modelling • Build and populate data • Build Reports ETL TESTING PROCESS
  • 6. Calculation Bug TYPES OF ETL BUGS BVA Related Bug User interface Bug Load condition Bug Source Bug Version control Bug ECP Related Bug Hardware Bug Input/output Bug Race Condition
  • 7. • Make sure data is transformed correctly • Without any data loss and truncation projected data should be loaded into the data warehouse • Ensure that ETL application appropriately rejects and reports invalid data • Need to ensure that the data loaded in data warehouse within prescribed and expected time frames to confirm scalability and performance • All methods should have appropriate unit tests • All unit tests should use appropriate coverage techniques • Create unit tests that target exceptions BEST PRACTICES
  • 8. CHALLENGES • Data that is lost or corrupted during migration. • Limited availability of source data. • Underestimating data transformation requirements. • Duplicate or incomplete data. • Large volume of historical data that makes ETL testing in target system difficult. • Unstable testing environment. • Outdated ETL tools in use.
  • 9. TESTING TOOLS • Informatica Data Validation • RightData • QuerySurge • Xplenty • Talend Open Studio for Data Integration • Datagaps ETL Validator • TestBench • DbFit
  • 10. KEY ASPECTS DATA TRANSFORMATION TESTING DATA QUALITY TESTING PERFORMANCE TESTING PRODUCTION VALIDATION TESTING SOURCE TO TARGET COUNT TESTING DATA & CONSTRAINT CHECK APPLICATION MIGRATION TESTING DUPLICATE DATA CHECKING Read More Data warehouse Testing
  • 11. Connect with BugRaptors ARE YOU READY TO SAFEGUARD YOUR DATA?
  • 12. WHY BUGRAPTORS? BugRaptors assure that your database get easily adapt with the latest performance and security upgrades. Our systematic approach will keep your covered at all places. We ensure end-to-end specialized ETL testing services to assist businesses attain a comprehensive vision of their data status.
  • 13. COME IN FOR A CHAT! 5858 Horton Street, Suite 101, Emeryville, California, USA MAIN BRANCH ADDRESS 240 241 6894 PHONE NUMBER info@bugraptors.com EMAIL ADDRESS www.bugraptors.com