Data Quality:
Building Reliable Data Platforms

Maintaining high data quality is crucial for building reliable data platforms. Wath the replay of the latest trends, best practices, and real-world data engineering applications, focusing on ensuring data quality within modern data platforms like Dagster.

Key takeaways:

• Why the orchestrator is the natural place to address data quality concerns
• Implementing data quality checks
  
• Building orchestration logic around the outcomes of quality checks