How do you write test cases for ETL Testing?
How do you write test cases for ETL Testing?
Few examples of test cases.
- The source and target table structure should match with the ETL mapping sheet.
- Data type and data length at source and target should be the same.
- The Data field type format should match on both source and target tables.
- Column names should map with the ETL sheets on both source and target.
What is test strategy in ETL Testing?
A test strategy is an outline that describes the test plan. It is created to inform the project team the objective, high level scope of the testing process. This includes the testing objective, methods of testing, resources, estimated timelines, environment etc.
Which tool is used for ETL Testing?
The Best ETL Testing Tools
- Bitwise QualiDI ETL Test Automation Platform.
- Codoid ETL Testing Services.
- Datagaps ETL Validator.
- iCEDQ.
- Informatica PowerCenter Data Validation.
- Original Software TestBench.
- QuerySurge Data Warehouse Testing.
- RightData.
Does ETL Testing require coding?
ETL tools can be Future Proof Writing code for a particular data warehouse needs to be in the language specific to that system. Most ETL tools, however, don’t do this! They are generalistic to work with many data warehouses. This means that each set of code written is specific to each individual data warehouse.
What knowledge is required for ETL Testing?
Key ETL skills for your resume: ETL Testing. SQL Programming and Querying. Languages: Java, Python, Smalltalk, Perl, etc. Data Warehousing (Star schema, Denormalization, Snow Flaking, etc)
What is difference between test plan and strategy?
1. Test plan can be defined as a document for a software project which defines the approach, scope, and intensity on the effort of software testing. The test strategy is a set of instructions or protocols which explain the test design and determine how the test should be performed.
Does ETL testing require coding?
What is the test strategy for ETL testing?
Test Strategy for ETL Testing / Standard Tests for ETL Testing There will be some standard tests for DWH that should be carried out as part of testing for every DWH Project. These are Strategies for testing ETL Applications are Identified as below: 1) Data Completeness Testing 2) Data Transformation Testing 3) Data Quality Testing
What is ETL or data warehouse testing?
ETL or Data warehouse testing is categorized into four different engagements irrespective of technology or ETL tools used: New Data Warehouse Testing – New DW is built and verified from scratch. Data input is taken from customer requirements and different data sources and new data warehouse is built and verified with the help of ETL tools.
How to test ETL applications for DWH?
There will be some standard tests for DWH that should be carried out as part of testing for every DWH Project. These are Strategies for testing ETL Applications are Identified as below: 1) Data Completeness Testing 2) Data Transformation Testing 3) Data Quality Testing 4) Initial Load / Full Load Testing
What is ETL and how does ETL tool work?
ETL tool is employed in order to make a flawless integration between different data sources from different departments. ETL tool will work as an integrator, extracting data from different sources; transforming it into the preferred format based on the business transformation rules and loading it in cohesive DB known are Data Warehouse.
https://www.youtube.com/watch?v=tqrtbKizLPc
