ETL Testing - Selenium
The ETL process refers to Extracting, transforming, and loading data according to the specifications. The testers perform ETL testing to perform validation and highlight the comparison between the input and output data that gets generated through the ETL process.
Our Training institute renders in-depth knowledge about ETL testing utilized in various data-centric projects. These projects contain a massive quantity of data or significant datasets. We help our learners to understand the process of extraction, transformation, and loading process from several source
systems that communicate through a data transformation layer. This procedure also includes cleaning, consolidating, integrating, and loading the data into a target file. Software development should follow appropriate testing and we help our learners to step up their careers and adopt the knowledge about testing.
We help our trainees to know the testing procedure before data gets migrated to production data warehouse systems. The process of ETL testing is slightly different from database testing. Once you get the proper training, you can easily differentiate the comparison.
Process of ETL testing
Our learners get knowledge about ETL testing and understand the below stages.
- They understand the identification of data sources and analyze the requirement
- Accuracy of Data Recovery
- Implementation of dimensional modeling and getting an understanding of business logic We help to design and populate data
- Finally, we help them to generate reports
Type of ETL testing
ETL testing has got various types. We help our trainees to understand those types and understand the implementation
- hey understand th
- New Data Warehousing Testing - Our trained professionals help the testers to utilize customers' requirements and verify from the core. Our trainees get hands-on experience in building new data warehouses and utilizing them in various data sources.
- Production Validation testing - Our trainees learn about testing on data that are migrated to Production systems. They learn about Automation and ensure that there should not be any compromise in accuracy.
- Source to Target Testing (Validation) - We help our learners with the data validation and give them a clear understanding of the transformation of the expected data values.
- Application upgrade - All the application upgrade after a certain period. The testers should ensure that the data extraction happens accurately when an older application migrates to a new application. We ensure that our learners get the knowledge and perform the role of an expert.
- Metadata Testing - We ensure that our testers can measure all types of data, Data length and check all constraints.
- Data Accuracy Testing -After the data migration happens, it is necessary to check if the data is accurately loaded. Hence, we ensure that our trainees learn about data transformation.
- Data Transformation Testing -Data transformation testing is impossible by writing one source SQL query. We help our trainees to write multiple SQL queries and execute them by following all the rules.
- Navigation Testing -The front end is always important for all applications. We help our trainees to check the navigations and analyze the GUI aspects
- Data Quality Testing -It includes syntax and reference testing. Our training curriculum helps our learners about reporting bad data and check if it abides by the data model.
- Migration Testing -Our trainees get detailed knowledge about reporting bugs and setting up the test environment. We help them acquire knowledge about the execution of the validation tests.
On completion of our training curriculum, our trainees become experts in ETL testing. We got a team of experts and also efficient people from the industry who share their knowledge about ETL testing. We help our learners to understand the process involved to load data from a source to a destination and issues that accuracy is followed during the transformation. They learn about the verification of data at various stages. They also get to know about the utilization between source and destination.
