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ETL TESTING

SYSTEM TESTING

ETL testing is a process done to ensure that the data is properly loaded from source to destination after the business is transformed accurately. ETL testing involves the verification of data at various middle stages that are being used between source and destination.

What is Data Warehouse?

Data warehouse is a huge collection of information from different sources. This information can be used for decision making and planning. It is a kind of database which is designed for querying, analysis and transaction processing. It helps the company or any organisation to consolidate data from several sources and separates analysis workload from transaction workload. Data is turned in to high quality information to meet the enterprise documenting requirements for all levels of users.

What is ETL?

It is the process of how data is loaded from different sources to data warehouse. It stands for Extract-Transform-Load. Data is extracted from the OLTP database and transformed to match the data warehouse schema and it is been loaded into the data warehouse database. For Example if there is a company it has many departments like Sales, Marketing and HR department. Each department have maintained the data of Employee separately. Some departments will store employee information by the employee’s name and some of the departments will store employee’s information by employee-Id. If they want to check the employee’s history then it will be tedious job. The solution is to use the data warehouse to store information from different sources in a uniform structure by ETL. ETL can transform dissimilar data into uniform structure.

 

ETL Testing Process

The different ETL testing phases are

ETL TESTING
ETL TESTING

 

 

ETL Testing performed in 5 stages:

  1. Identifying data sources and requirements
  2. Data acquisition
  3. Implement business logics
  4. Build and populate data
  5. Build reports

Types of ETL testing:

  1. Production validating testing: This type of testing is done to data as it is moving  to production systems. To support  your  business decision, the data in the production systems should be in the correct order. Data validation option ETL testing automation and management capabilities to confirm that the production systems  does not compromised by the data.
  2. Metadata Testing: It includes testing of data type, data length, constraint of data.
  3. Data completeness testing: data completeness testing is done to assure that the data is loaded in target from the source. Some tests that run are compare and validate counts.
  4. Data Accuracy testing: This testing is done to ensure that the data is  accurately loaded  and transformed as expected.
  5. Data Transformation testing: It verifies the data is correctly transformed according to the business availabilities.

Questions

  1. What is ETL Testing?
  2. What are advantages of ETL Testing?
  3. What are the types of ETL Testing?

 

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21 Comments

  1. —>what is ETL testing?
    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 stands for Extract-Transform-Load.
    —->what are the types of ETL testing?
    1) Data Transformation testing: It verifies the data is correctly transformed according to the business availabilities.
    2) Production validating testing: This type of testing is done to data as it is moving to production systems. To support your business decision, the data in the production systems should be in the correct order. Data validation option ETL testing automation and management capabilities to confirm that the production systems does not compromised by the data.
    3) Metadata Testing: It includes testing of data type, data length, constraint of data.
    4) Data completeness testing: data completeness testing is done to assure that the data is loaded in target from the source. Some tests that run are compare and validate counts.
    5) Data Accuracy testing: This testing is done to ensure that the data is accurately loaded and transformed as expected.
    —>what are the advantages of ETL testing?
    -Increased query and system performance
    -Timely access to data
    -Enhanced quality and consistency
    Data is essential for businesses to make the strategic business decisions. ETL testing plays a considerable role in validating and ensuring that the business information is exact, consistent and reliable. Hazardous of data loss in production is also minimized.

  2. ETL testing:
    ETL testing: It stands for Extract-Transform-Load. It is a middle stage testing process to validate that the data has been transformed and loaded into the target as expected.
    Warehouse data: is a huge collection of information from different sources and is a technique for collecting and managing data from varied sources to provide meaningful business insights.
    Advantages:
    ETL Testing Advantages:
    1.ETL is used to transfer or migrate the data from one database to another, to prepare data marts or data warehouses.
    2.ETL testing significantly reduces the risk of data loss.
    3. Data quality is essential for informed decision making.

    ETL Testing Types:
    1) Production Validation Testing:
    It is also called as Table balancing or product reconciliation. It is performed on data before or while being moved into the production system in the correct order.
    2) Source To Target Testing:
    This type of ETL Testing is performed to validate the data values after data transformation.
    3) Application Upgrade:
    It is used to check whether the data is extracted from an older application or new application or repository.
    4) Data Transformation Testing:
    Multiple SQL queries are required to be run for each and every row to verify data transformation standards.
    5) Data Completeness Testing:
    This type of testing is performed to verify if the expected data is loaded at the appropriate destination as per the predefined standards.

  3. ETL is short for extract, transform, load, three database functions that are combined into one tool to pull data out of one database and place it into another database.
    The Advantages of ETL Testing:
    1 To give similar data into uniform structure.
    2 Help to analysis data easier and make a accurate business decision.
    types:
    Production validating testing
    Metadata Testing
    Data completeness testing
    Data Accuracy testing
    data Transformation testing

  4. 1.) ETL stands for Extract-Transform-Load. It is the process of how data is loaded from different sources to data warehouse.

    2.)Advantages of ETL testing are-
    a. It helps the company or any organisation to consolidate data from several sources.
    b. It separates analysis workload from transaction workload.
    c. Data is turned in to high quality information to meet the enterprise documenting requirements .
    d. This information can be used for decision making and planning.

    3.) The various types of ETL testing are-
    a. Production validating testing
    b. Metadata Testing
    c .Data completeness testing
    d. Data Accuracy testing
    e. Data Transformation testing

  5. It is the process of how data is loaded from different sources to data warehouse. It stands for Extract-Transform-Load. Data is extracted from the OLTP database and transformed to match the data warehouse schema and it is been loaded into the data warehouse database. For Example if there is a company it has many departments like Sales, Marketing and HR department. Each department have maintained the data of Employee separately.data warehouse to store information from different sources in a uniform structure by ETL.
    Advantage:
    1.ETL is used to transfer or migrate the data from one database to another, to prepare data marts or data warehouses.
    2.ETL testing significantly reduces the risk of data loss.
    3. Data quality is essential for informed decision making.
    4. ETL can transform dissimilar data into uniform structure.
    ETL Testing Types:
    Production validating testing: This type of testing is done to data as it is moving to production systems. Data validation option ETL testing automation and management capabilities to confirm that the production systems does not compromised by the data.
    Metadata Testing: It includes testing of data type, data length, constraint of data.
    Data completeness testing: data completeness testing is done to assure that the data is loaded in target from the source.
    Data Accuracy testing: This testing is done to ensure that the data is accurately loaded and transformed as expected.
    Data Transformation testing: It verifies the data is correctly transformed according to the business avail abilities.

  6. What is ETL Testing?
    ETL testing is a process done to ensure that the data is properly loaded from source
    to destination after the business is transformed accurately.
    ETL testing involves the verification of data at various middle stages that are
    being used between source and destination.
    For Example, a company has many departments like Sales, Marketing and HR department.
    Each department has maintained the Employee data separately.
    Some departments will store employee information by the employee’s name and some of the departments will store employee’s information by employee-Id. If they want to check the employee’s history then it will be a tedious job.
    The solution is to use the data warehouse to store information from different sources
    in a uniform structure by ETL.
    ETL can transform dissimilar data into a uniform structure.

    What are the advantages of ETL Testing?
    ETL can transform dissimilar data into a uniform structure by identifying data source
    and requirements, Data acquisition, Implement business logics, Build and populate data,
    Build reports.

    What are the types of ETL Testing?
    Types of ETL testing:
    -Production validating testing: This type of testing is done to data as it is moving to production systems. To support your business decision, the data in the production systems should be in the correct order. Data validation option ETL testing automation and management capabilities to confirm that the production systems do not compromise by the data.
    -Metadata Testing: It includes testing of data type, data length, the constraint of data.
    -Data completeness testing: data completeness testing is done to assure that the data is loaded in target from the source. Some tests that run are compared and validate counts.
    -Data Accuracy testing: This testing is done to ensure that the data is accurately loaded and transformed as expected.
    -Data Transformation testing: It verifies the data is correctly transformed
    according to the business availabilities

  7. 1.What is ETL Testing?
    ETL Testing: Extract-Transform-Load (ETL) testing is done to ensure that the data that has been loaded from the source to the destination after business transformation is accurate.

    2.What are advantages of ETL Testing?
    Advantages of ETL Testing:
    (a) Quality of a Data: It helps to assure only standard quality & accurate data is saved in the production servers.
    (b) Avoid the risk of data loss: It helps to avoid the risk factor of data loss.
    (c) Provides timely access: Check the data & provide the access to the user at any time.

    3.What are the types of ETL Testing?
    Types of ETL Testing:
    (a) Production validation testing: This type of testing is performed on data before or while being moved into the production system in the correct order.
    (b) Metadata Testing: It includes testing of data type, data length, constraint of data.
    (c) Data completeness testing: Data completeness testing is done to verify if the expected data is loaded at the appropiate destination as per the pre defined standards.
    (d) Data Accuracy testing: This testing is done to ensure that the data is accurately loaded and transformed as expected.
    (e) Data Transformation testing: It verifies the data is correctly transformed according to the business availabilities.

  8. 1.ETL testing is a process done to ensure that the data is properly loaded from source to destination after the business is transformed accurately. ETL testing involves the verification of data at various middle stages that are being used between source and destination.

    2.The data warehouse to store information from different sources in a uniform structure by ETL. ETL can transform dissimilar data into uniform structure.

    3.Types of ETL testing:
    1.Production validating testing
    2.Metadata Testing
    3.Data completeness testing
    4.Data Accuracy testing
    5.Data Transformation testing

  9. ETL means extract transform load.
    ETL Testing is a process done to ensure that Data is properly loaded from source to destination after the business is transformed accurately.
    ETL can transform dissimilar data into uniform structure. The information can be used for decision making and planning. It reduces the risk of data loss.
    ETL testing types are
    Production Validation Testing
    Metadata Testing
    Data Completeness Testing
    Data Accuracy Testing
    Data Transformation Testing

  10. 1. What is ETL testing?
    It is the process of how data is loaded from different sources to a data warehouse.
    Extract Transform Load
    2. What are the advantages of ETL testing?
    ETL can transform dissimilar data into uniform structure. The data warehouse stores information from different sources in a uniform structure by using ETL.
    3. What are the types of ETL testing?
    a. Production validation testing
    b. Metadata testing
    c. Data completeness testing
    d. Data accuracy testing
    e. Data transformation testing

  11. 1.ETL testing is a process done to ensure that the data is properly loaded from source to destination after the business is transformed accurately. ETL testing involves the verification of data at various middle stages that are being used between source and destination.
    2. by ETL .the data warehouse to store information from different sources in a uniform structure ETL can transform dissimilar data into uniform structure.
    3.Production validating testing
    Metadata Testing
    Data completeness testing
    Data Accuracy testing
    Data Transformation testing

  12. What is ETL Testing?
    ETL Testing is a process done to ensure that Data is properly loaded from source to destination after the business transformed accurately.

    What are advantages of ETL Testing?
    ETL can tranform dissimilar data into uniform structure. The information can be used for decision making and plainning.

    What are the types of ETL Testing?
    Production validating Testing
    Metadata Testing
    Data accuracy Testing
    Data completeness Testing
    Data Tranformation Testing

  13. 1. ETL testing is a process done to ensure that the data is properly loaded from source to destination after the business is transformed accurately. ETL testing involves the verification of data at various middle stages that are being used between source and destination.

    2. The advantage of ETL testing is that the data for multiple databases will be located in one place. As a result, the data does not have to be replicated each time it is used in a software program. It can just be directly accessed from the ETL Data Warehouse.

    3. The types of ETL testing are production validating testing. metadata testing, data completeness testing, data accuracy testing, and data transformation testing.

  14. ETL testing is the process of how data is loaded from different sources to data warehouse.It stands for Extract-Transform-Load.
    The Advantage of ETL it can Transform dissimilar data in to uniform structure.
    production Validating Testing,Metadata Testing,Data completeness Testing,Data Accuracy Testing,Data Transformation Testing

  15. ETL: It stands for Extract-Transform-Load. Data is extracted from the OLTP database and transformed to match the data warehouse schema and it is been loaded into the data warehouse database.

    Types of ETL testing:

    Production validating testing: This type of testing is done to data as it is moving to production systems. To support your business decision, the data in the production systems should be in the correct order.
    Metadata Testing: It includes testing of data type, data length, constraint of data.
    Data completeness testing: data completeness testing is done to assure that the data is loaded in target from the source. Some tests that run are compare and validate counts.
    Data Accuracy testing: This testing is done to ensure that the data is accurately loaded and transformed as expected.
    Data Transformation testing: It verifies the data is correctly transformed according to the business availabilities.

    Advantages:
    It is easy to retrieve, data that we are accessing more clean with less error or duplications

  16. ETL testing refers to the process of validating, verifying, and qualifying data while preventing duplicate records and data loss.

    ETL testing ensures that the transfer of data from heterogeneous sources to the central data warehouse occurs with strict adherence to transformation rules and is in compliance with all validity checks.

    Source to target count testing
    Metadata testing
    Data quality testing
    Data transformation testing
    Report testing

  17. ETL(Extract-Transform-Load) testing is a process done to ensure that the data is properly loaded from source to destination after the business is transformed accurately. ETL testing involves the verification of data at various middle stages that are being used between source and destination. ETL can transform dissimilar data into uniform structure.
    Advantages: 1. ETL(Extract-Transform-Load) testing involves the verification of data at various middle stages that are being used between source and destination. 2. ETL can transform dissimilar data into uniform structure.
    Types of ETL testing: Production validating testing, Metadata Testing, Data completeness testing, Data Accuracy testing, Data Transformation testing

  18. 1.) ETL testing is a process to ensure data is properly loaded from source to destination. It involves verifying data at multiple middle stages between the source and the destination.
    2.) The advantages of ETL testing include ensuring data is not lost or corrupted on the way to the data warehouse and that the data is brought into the uniform structures desired in the data warehouse.
    3.) The types of ETL testing are
    a.) Production Validating Testing- done to data as it is being transferred to production systems. Helps to ensure data does not get compromised
    b.) Metadata Testing- involves testing data type, data length, and constraint of data.
    c.) Data Completeness Testing- done to ensure data is fully loaded into destination from the source
    d.) Data Accuracy Testing- done to ensure data is accurately loaded and transformed
    e.) Data Transformation Testing- verifies data is correctly transformed according to the business availabilities
    ETL is Extract-Transform-Load. It is used to bring collections of data from multiple sources into one data warehouse and can take dissimilar data and bring it into a uniform structure

  19. What is ETL Testing?
    It stands for Extract-Transform-Load. It is the process of how data is loaded from different sources to data warehouse.

    What are advantages of ETL Testing?
    ETL can transform dissimilar data into a uniform structure. The solution is to use the data warehouse to store information from different sources in a uniform structure by ETL.

    What are the types of ETL Testing?
    Production validating testing
    Metadata Testing
    Data completeness testing
    Data Accuracy testing
    Data Transformation testing

  20. What is ETL Testing?
    ETL (Extract-Transform-Load) testing is a process done to ensure that the data is properly loaded from source to destination after the business is transformed accurately. ETL testing involves the verification of data at various middle stages that are being used between source and destination. It is the process of how data is loaded from different sources to data warehouse.

    What are advantages of ETL Testing?
    The Advantages for using ETL testing are:
    1)Quality of a data: It is essential for making the decisions as it helps to assure that only standard quality and accurate data is saved in the production servers.
    2) Avoid the risk of Data Loss: ELT testing helps to avoid the risk factor of data loss.
    3) Provides Timely Access: Check the data and provide the access to the user at any time.

    What are the types of ETL Testing?
    The types of ETL Testing are Production validating testing, Metadata Testing, Data completeness testing, Data Accuracy testing, Data Transformation testing.

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