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Data Quality Testing: 7 Essential Tests

Monte Carlo

Too much data Too much data might not sound like a problem (it is called big data afterall), but when rows populate out of proportion, it can slow model performance and increase compute costs. Freshness tests can be created manually using SQL rules, or natively within certain ETL tools like the dbt source freshness command.

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8 Data Quality Issues and How to Solve Them

Monte Carlo

Too much data Too much data might not sound like a problem (it is called big data afterall), but when rows populate out of proportion, it can slow model performance and increase compute costs. Volume tests It’s important to identify data volume changes as quickly as possible.

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Forge Your Career Path with Best Data Engineering Certifications

ProjectPro

This blog covers the most valuable data engineering certifications worth paying attention to in 2023 if you plan to land a successful job in the data engineering domain. Why Are Data Engineering Skills In Demand? The World Economic Forum predicts that by 2025, 463 exabytes of data will be produced daily across the world.