The complexity and scale of big data ecosystems demand rigorous testing to validate data processing and performance across distributed systems.

Big data testing focuses on ensuring the integrity and quality of data, from ingestion through to analysis. This approach is essential for organizations to leverage accurate, actionable insights from their big data investments.