Objective: Assess the use of schema profiling tools, such as Pandera and Great Expectations, for validating data schemas within our ingestion pipeline. Determine which tool best meets our needs for flexibility, integration, and ease of use.
Questions to Explore:
- What are the pros and cons of using Pandera versus Great Expectations for schema validation in terms of complexity, overhead, and flexibility?
- How do these tools integrate with our existing data pipeline, especially with tools like Apache Airflow or Pandas?
- Which tool aligns better with our current and future data quality requirements?
Objective: Assess the use of schema profiling tools, such as Pandera and Great Expectations, for validating data schemas within our ingestion pipeline. Determine which tool best meets our needs for flexibility, integration, and ease of use.
Questions to Explore:
- What are the pros and cons of using Pandera versus Great Expectations for schema validation in terms of complexity, overhead, and flexibility?
- How do these tools integrate with our existing data pipeline, especially with tools like Apache Airflow or Pandas?
- Which tool aligns better with our current and future data quality requirements?