- Introduction
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Welcome! 0 hr 1 min
- Data Quality Fundamentals
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Why Data Quality? 0 hr 5 min
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The Six pillars of Data Quality 0 hr 10 min
- Implementing your Data Quality checks
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The WAP pattern 0 hr 8 min
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Data Quality with Astro Observe 0 hr 7 min
- Wrap Up
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Final Quiz
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How was it?
Observability: Data Quality
Reliable data for reliable decisions
Welcome to the Observability: Data Quality module!
In this module, you will learn why data quality matters, the six essential characteristics that any dataset must possess to ensure high data quality, a crucial data engineering approach to prevent bad data from being pushed into production, and, more importantly, how to implement data quality checks with Astro Observe.
🎯 Learning Objectives
At the end of this module, you'll be able to:
- Implement your first data quality checks with Astro Observe
- Spot issues and define the correct data quality check
- Assess if a dataset is reliable enough for taking decisions based on it
- Use the Write-Audit-Publish pattern to prevent pushing bad data into production