ETLTesting

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Data Warehouse Architectures Explained

Data Warehouse architectures depend upon the info requirements of the organization. A previous post on Data warehouse architecture covered a summary of the most used architecture and its components.

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Which Tools Do You Use in ETL Testing?

While there are several advanced ETL Testing tools accessible for software testing -tools, software testing companies specifically use “Informatica Data Validation”. Informatica Data Validation is one among the famous ETL tool, which integrates with the PowerCenter Repository & Integration Services. This advanced tool allows production analysts and developers to construct rules to confirm the map data.

While distinct approach to ETL testing are error-prone, very protracted, and rarely in attendance total test coverage. Informatica Data Validation Option gives an ETL testing tool which will speed up and automate ETL testing in both production environments and development & test, which suggests that you simply can deliver repeatable, complete, and auditable test coverage in minimum time with no programming skills required. Automated ETL Testing reduces time consumption and helps to take care of accuracy.

Key Points of Informatica Data Validation (ETL Testing tool):

Informatica Data Validation gives the complete result for data validation along side data reliability

recognize and prevents data issue and provides greater business efficiency

minimize programming efforts on description of the intuitive border and built-in operators

It has Wizards to get test Query without counting the user’s prerequisite to write down SQL

More complicated tests apparatus also proffers design Library & reusable Query leftovers

Analyze many data rows & columns in minutes

assist to match data from starting place files & data supplies to the target Data Warehouse

Produce informative reports, updates, and auto-email outcome.

50 to 90% of efforts and costs are regularly save using the Informatica Data Validation tool.

Informatica Data Validation”. Informatica Data Validation

Automating ETL tests permits everyday testing with none user intervention and also aids to supports automatic regression tests on the old code following every single new release. within the end, this sophisticated tool will save your precious time and your users will appreciate the standard of your Business Intelligence deliverable.

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Key Features of ETL Testing tool

Informatica Data Validation gives the entire end result for data justification along side data truth Recognizes and prevents data issues and provides greater business productivity Minimizes programming efforts on account of the intuitive interface and built-in operators

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ETL Testing life cycle

ETL testing requires manual testing steps and testers who understand the essential of an ETL Tool, Database, SQL, basic UNIX commands, etc., following are the varied phases typically followed in ETL Testing.

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Stages of the ETL Testing process

Stages of the ETL Testing process

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Types of ETL Testing

Types of ETL Testing

The types of ETL Testing are:

1. New Data Warehouse Testing: it's built and verified from the core. during this testing, the input is taken from the customer's requirement and different data sources. However, the new data warehouse is made and verified with the assistance of ETL tools.

Here are the responsibilities which are played by different groups:

·         Business Analyst: Business Analyst gathers and documents the wants .

·         Infrastructure People: These people found out the test environment.

·         QA Testers: QA Testers develop test plans and test scripts then execute these test plan and scripts.

·         Developers: Developers perform the unit test for every module.

·         Database Administrator: Database Administrator test for the performance and also for the strain .

·         Users: Users do functional testing, which incorporates UAT (User Acceptance Testing).

2. Production Validation Testing: This testing is completed on data when data is moved to production systems. Informatica Data Validation option provides the automation of ETL testing and management capabilities to make sure that the info don't compromise production systems.

3. Source to focus on Testing (Validation): this sort of testing is completed to validate the info values transformed the expected data values.

4. Application Upgrade: this sort of ETL testing is automatically generated, which saves the test development time. this sort of testing checks the extracted data from an older application are precisely same because the data during a new application.

5. Metadata Testing: Metadata testing includes the measurement of sorts of data, length of knowledge , and check index/constraint.

6. Data Accuracy Testing: This testing is completed to make sure that the info is accurately loaded and transformed needless to say .

7. Data Transformation Testing: Data transformation testing wiped out many cases. It can't be achieved by writing one source SQL query and comparing the output with the target. Multiple SQL queries got to be run each row to verify the transformation rules.

8. Data Quality Testing: Data Quality Tests includes syntax and reference test. To avoid any error thanks to date or order number during business process data quality is completed . Syntax tests: it'll report dirty data, supported invalid character, character pattern, incorrect upper or small letter order, etc. Reference Tests: it'll check the info consistent with the info model.

For Example, Customer ID data quality testing includes number check, date check, precision check, date check, etc.

9. Incremental ETL Testing: This testing is completed to see the info integrity of old and new data when the new data added. Incremental testing verifies that the system processes correctly even after the insertion and updating the info during an incremental ETL process.

10. GUI/Navigation Testing: This testing is completed to see the navigation or GUI aspects of the front reports.

11. Migration Testing: during this testing, the customer has an existing data warehouse, and ETL is performing the work . But customers are trying to find tools to enhance efficiency. It includes these steps:

·         Design and validation tests

·         Setting up the test environment

·         Executing the validation test

·         Reporting the bugs

12. Change Requests: during this case, data added to an existing data warehouse. There could be condition arises where customers require to vary this business rule, or they will integrate new rule.

13. Report Testing: the ultimate results of the info warehouse, reported testing. Repots should test by validating the info , layout within the report. Reports are an important resource for creating vital business decisions

For more information About this courses Please go through this link

ETL Testing Online Training

Contact Information:

USA: [phone]

INDIA: [phone], 9550102466

Email: [email protected]

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What is ETL Testing & Types of ETL Testing

What is ETL Testing? 1) As mentioned previously ETL stands for Extraction, Transformation, and Loading is taken into account to be the three prime database functions. uf0d8tExtraction: Reading data from the database. uf0d8tTransformation: Converting the extracted data into the specified form to store into another database. uf0d8tLoading: Writing the info into the target database. 2) ETL is employed to transfer or migrate the info from one database to a different , to organize data marts or data warehouses.

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