In the context of big data, how does testing in data lakes differ from traditional database testing?
- Data access in data lakes is restricted compared to traditional databases
- Data processing in data lakes is faster than in traditional databases
- Data structure in data lakes is well-defined compared to traditional databases
- Data volume in data lakes is typically much larger than in traditional databases
Testing in data lakes differs from traditional database testing primarily due to the significantly larger data volume typically found in data lakes. Traditional database testing focuses on structured data with predefined schemas, while data lakes often contain unstructured or semi-structured data requiring different testing approaches.
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