Scenario: You are tasked with selecting an ETL testing tool for a complex data integration project. The project involves handling large volumes of data and requires extensive automation. Which ETL testing tool or framework would you recommend?
- Apache Airflow
- Apache Kafka
- Apache NiFi
- Selenium
Apache Airflow is a highly recommended ETL testing tool for complex data integration projects due to its capability for handling large volumes of data and extensive automation features. It allows for the creation of complex workflows, scheduling of tasks, and monitoring of data pipelines. With its rich set of features and scalability, Apache Airflow is suitable for managing ETL processes in such scenarios.
Loading...
Related Quiz
- In the context of database monitoring, what does the term "profiling" refer to?
- Which phase of the data migration process typically involves data extraction from the source system?
- Scenario: You are tasked with assessing the performance of a large e-commerce database during a holiday sale. Which type of performance testing should you prioritize to ensure the system can handle the expected surge in traffic?
- Scenario: You are responsible for implementing continuous integration for database testing in your organization. Which factors should you consider when selecting a CI/CD tool for this purpose?
- Which SQL statement is used to retrieve data from a database?