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🚀 Databricks in 30 Days – Day 19 | Data Quality Checks Explained #dataengineering #dataanlysis #sql
Your data pipeline might be working… but is your data correct? In this video, we cover simple and essential data quality checks used in real-world data engineering projects. Learn how to clean data by removing null values, filtering invalid records, and eliminating duplicates before loading it into final tables. In this video, we cover ...
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