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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. Essentially, does this data reflect reality? In this case, the SLI would be something like “hours since dataset refreshed.”

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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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4 Native Snowflake Data Quality Checks & Features You Should Know

Monte Carlo

As Snowflake defines it, each row in the Access History view contains a single record per SQL statement that describes the columns the query accessed, including the underlying tables that the data for the query comes from. Use this query to pull how many bytes and rows tables have , as well as the time they were most recently updated.

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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.