ETL Testing – Scenarios
| Test Scenarios | Test-Cases |
| Structure Validation | It involves validating the source and th ... |
| Validating Mapping document | It involves validating the mapping docum ... |
| Validate Constraints | It involves validating the constraints a ... |
| Data Consistency check | It involves checking the misuse of integ ... |
What is data validation in ETL?
In simple terms, Data Validation is the act of validating the fact that the data that are moved as part of ETL or data migration jobs are consistent, accurate, and complete in the target production live systems to serve the business requirements.
How do I perform a performance test using ETL?
Setup test data for performance testing either by generating sample data or making a copy of the production (scrubbed) data. Execute Full ETL process to load the test data into the target. Review each individual ETL task (workflow) run times and the order of execution of the ETL.
What is table balancing in ETL testing?
“Table balancing” or “production reconciliation” this type of ETL testing is done on data as it is being moved into production systems. To support your business decision, the data in your production systems has to be in the correct order.
What is the difference between ETL testing and database testing?
It is different from database testing in terms of its scope and the steps to be taken to complete this. The main objective of ETL testing is to identify and mitigate data defects and general errors that occur prior to processing of data for analytical reporting.
What is validation in ETL Testing?
Nine types of ETL tests Production validation, also called “production reconciliation” or “table balancing,” validates data in production systems and compares it against source data. This guards data against faulty logic, failed loads, or operational processes that are not loaded to the system.
What are the types of validation in ETL?
Data Validation Tests For ETL And Data Migration Projects#1) Data Uniformity.#2) Entity Presence.#3) Data Accuracy.#4) Metadata Validation.#5) Data Integrity.#6) Data Completeness.#7) Data Transformation.#8) Data Uniqueness Or Duplication.More items...•
What is data validation in ETL?
Often, data validation is used as a part of processes such as ETL (Extract, Transform, and Load) where you move data from a source database to a target data warehouse so that you can join it with other data for analysis. Data validation helps ensure that when you perform analysis, your results are accurate.
What are the common ETL Testing Data Validation scenarios List 10?
ETL Testing Scenarios:1) Structure Validation.2) Validate Constraints.3) Validating Mapping document.4) Null Validation.6) Date Validation check.7) Data Completeness Validation.8) Data Cleaning.9) Data Transform validation.More items...
What are the 3 types of data validation?
Types of data validation include: data range validation, code validation, and. data type validation.
What are the different types of validation?
The guidelines on general principles of process validation mentions four types of validation:A) Prospective validation (or premarket validation)B) Retrospective validation.C) Concurrent validation.D) Revalidation.A) Prospective validation.
What are the five stages of ETL testing?
ETL testing is performed in five stages:Identifying data sources and requirements.Data acquisition.Implement business logic and Dimensional Modeling.Build and populate data.Build Reports.
What is data validation in testing?
Data validation is the process of checking the quality and accuracy of a data source before using, importing, and processing the information. In that sense, data validation is the foundation of data cleansing. There are various types of data validation, such as: Data migration testing. Data integrity testing.
How many data validation types are there?
Data validation options. When a data validation rule is created, there are eight options available to validate user input: Any Value - no validation is performed.
What are data validation techniques?
Data validation refers to the process of ensuring the accuracy and quality of data....Common types of data validation checks include:Data Type Check. ... Code Check. ... Range Check. ... Format Check. ... Consistency Check. ... Uniqueness Check.
What is metadata validation in ETL?
Checking the metadata involves validating the source and the target table structure w.r.t. the mapping document. The mapping document has details of the source and target columns, data transformations rules and the data types, all the fields that define the structure of tables in the source and the target systems.
How do you validate millions of records in ETL?
As a general advice: Load the data into a separate table dedicated to the ETL, without transforming the records too much. Use that table as a source in subsequent ETLs. As an additional note: Using the tools the DBMS provides, you can be sure, that some error can not happen.
What is metadata validation?
In Metadata validation, we validate that the Table and Column data type definitions for the target are correctly designed, and once designed they are executed as per the data model design specifications.
What is the first check in a data architecture?
(i) Metadata design: The first check is to validate that the data model is correctly designed as per the business requirements for the target tables. Data architects may migrate schema entities or can make modifications when they design the target system.
What is ETL testing?
ETL Testing is the process which is designed to verify and validate the ETL process in order to reduce data redundancy and information loss. As Testing is a vague concept, there are no predefined rules to perform Testing.
Why is it important to choose an ETL tool?
Every Testing team has different requirements, and thus it is important to choose the ETL Testing tool to avoid future bottlenecks carefully . Some of the parameters to consider when choosing an ETL Testing Tool are given below:
What is performance testing?
Performance Testing tests the systems’ performance which determines whether data is loaded within expected time frames to the systems and how it behaves when multiple users logs onto the same system.
What does ETL mean in data?
ETL stands for Extract, Transform and Load and is the process of integrating data from multiple sources, transforming it into a common format, and delivering the data into a destination usually a Data Warehouse for gathering valuable business insights.
Why is regression testing performed?
Also, Regression Testing is performed to ensure there are no new bugs introduced while fixing the earlier one.
What is ETL validation?
ETL Validator comes with Benchmarking Capability in Component Test Case for automating the incremental ETL testing. Benchmarking capability allows the user to automatically compare the latest data in the target table with a previous copy to identify the differences. These differences can then be compared with the source data changes for validation.
What is ETL process?
ETL process is generally designed to be run in a Full mode or Incremental mode. When running in Full mode, the ETL process truncates the target tables and reloads all (or most) of the data from the source systems.
What is ETL in data warehousing?
ETL is commonly associated with Data Warehousing projects but in reality any form of bulk data movement from a source to a target can be considered ETL. Large enterprises often have a need to move application data from one source to another for data integration or data migration purposes.
Why is data denormalized in ETL?
Denormalization of data is quite common in a data warehouse environment. Source data is denormalized in the ETL so that the report performance can be improved. However, the denormalized values can get stale if the ETL process is not designed to update them based on changes in the source data.
What to do if your ETL test doesn't start?
ETL testing is very much dependent on the availability of test data with different test scenarios. If playback doesn't begin shortly, try restarting your device. Videos you watch may be added to the TV's watch history and influence TV recommendations. To avoid this, cancel and sign in to YouTube on your computer.
When a source record is updated, should the incremental ETL be able to lookup for the existing record in
When a source record is updated, the incremental ETL should be able to lookup for the existing record in the target table and update it. If not this can result in duplicates in the target table.
What is white box testing?
White box testing is a testing technique, that examines the program structure and derives test data from the program logic / code. For transformation testing, this involves reviewing the transformation logic from the mapping design document and the ETL code to come up with test cases. The steps to be followed are listed below:
What is ETL testing?
When we talk about ETL testing, it is a validation and verification of Data, its completeness, its uniqueness, and data integrity. The ETL process is used in data warehousing, and it became popular in the 1970s.
Why are ETL testers needed?
ETL testers are in need because data is becoming huge, and in this competitive age, every business wants to know the demands of users, the interest level of end-users, so that business gets ready to fulfill the needs of the users, to make timely decisions, they Need a consolidated data.
When is ETL testing updated?
ETL Testing – A Complete Guide. By Rajkumar Updated on June 16, 2021. In this post, we will learn about ETL Testing (Data Warehousing Testing) along with the following.
What are the challenges of ETL testing?
Creating a source to target mapping document: if it is not done correctly in the initial stage, entire testing will produce false results.
What is ETL testing?
The general methodology of ETL testing is to use SQL scripting or do “eyeballing” of data.. These approaches to ETL testing are time-consuming, error-prone and seldom provide complete test coverage. To accelerate, improve coverage, reduce costs, improve Defect detection ration of ETL testing in production and development environments, automation is the need of the hour. One such tool is Informatica.
What is ETL performance testing?
Performance Testing in ETL is a testing technique to ensure that an ETL system can handle load of multiple users and transactions. The primary goal of ETL Performance Testing is to optimize and improve session performance by identification and elimination of performance bottlenecks. The source and target databases, mappings, sessions and the system possibly have performance bottlenecks.
What is data warehouse testing?
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. 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.
ETL Testing – Introduction
ETL Testing - Tasks
ETL vs Database Testing
ETL Testing – Categories
ETL Testing – Challenges
ETL – Tester's Roles
ETL Testing – Techniques
ETL Testing – Process
- ETL testing covers all the steps involved in an ETL lifecycle. It starts with understanding the business requirements till the generation of a summary report. The common steps under ETL Testing lifecycle are listed below − 1. Understanding the business requirement. 2. Validation of the business requirement. 3. Test Estimation is used to provide the...
ETL Testing – Scenarios
ETL Testing – Performance