What type of testing is essential to validate the schema-on-read approach in data lakes?
- Data Lake Integration Testing
- Data Quality Testing
- Schema Validation Testing
- Schema-on-Read Testing
Schema-on-Read Testing is essential to validate the schema-on-read approach in data lakes. This testing ensures that data is interpreted correctly during the reading process, providing flexibility in handling diverse data structures.
Loading...
Related Quiz
- What is the primary goal of Test Data Management in ETL testing?
- Which architecture is commonly used in a modern Data Warehouse?
- What is the impact of real-time data integration on risk management in ETL testing?
- For a scenario involving the migration of a large legacy system to a modern data warehouse, which ETL tool would you recommend and what are its key advantages?
- ________ is a process in data validation that involves checking for data type, format, and value constraints.