This passage explores the complementary roles of data observability and data integrity in enhancing data pipeline visibility and improving decision-making in modern enterprises. Data observability provides real-time insights into the health of data systems, monitoring factors like data freshness, cleanliness, consistency, and latency. This visibility allows organizations to quickly detect and resolve system issues. Data integrity focuses on ensuring that data remains accurate and reliable during ETL processes. Together, these practices enable businesses to maintain trustworthy, up-to-date data, improving their ability to make informed decisions.

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