Introduction to ETL
Testing:
ETL testing today is
done by SQL scripting or “eyeballing” of data on spreadsheets. These approaches
to ETL testing are very time-consuming, error-prone, and seldom provide
complete test coverage. Informatica Data Validation Option provides an ETL
testing tool that can accelerate and automate ETL testing in both production
environments and development & test. This means that you can deliver
complete, repeatable and auditable test coverage in less time with no
programming skills required.


Types of ETL Testing:
·
Production
Validation Testing (testing data before moving into production): This is
also called as “table balancing” or “production reconciliation”. This type of
ETL testing is done on data as it is being moved into production systems. The
data in your production systems has to be right in order to support your
business decision making. Informatica
Data Validation Option provides the ETL testing automation and management
capabilities to ensure that your production systems are not compromised by the
data update process.
·
Source to
Target Testing (data is transformed): This type of ETL testing validates
that the data values after a transformation are the expected data values. The
Informatica Data Validation Option has a large set of pre-built operators to
build this type of ETL testing with no programming skills required.
·
Application
Upgrades (same-to-same ETL testing): This type of ETL testing validates
that the data coming from an older application or repository is exactly the
same as the data in the new application or repository. Most of this type of ETL
testing can be automatically generated, saving substantial test development
time.
Benefits of ETL
Testing with Data Validation Option:
·
Production Reconciliation. Informatica Data
Validation Option provides automation and visibility for ETL testing, to ensure
that you deliver trusted data in your production system updates.
·
IT Developer Productivity. 50% to 90% less time and resources required
to do ETL testing
·
Data Integrity.
Comprehensive ETL testing coverage means lower business risk and greater
confidence in the data.
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