What challenges are typically associated with handling large volumes of data in ETL testing?

  • Data security vulnerabilities, compliance issues, and data loss risks.
  • Lack of testing tools, inadequate documentation, and version control problems.
  • Limited scalability, data corruption, and interoperability issues.
  • Performance bottlenecks, increased processing time, and resource constraints.
Handling large volumes of data in ETL testing poses several challenges such as performance bottlenecks due to increased processing time, resource constraints, and scalability issues. These challenges can impact the efficiency and effectiveness of the ETL process, leading to delays and potential data inconsistencies.
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