What are the best practices for designing a data pipeline?
When designing a data pipeline, consider scalability, reliability, and maintainability. Start with a clear architecture.
Can you elaborate on scalability? How do I ensure my pipeline can handle growth?
To ensure scalability, use modular components that can be independently scaled, and leverage cloud services for flexibility.
What about data quality? How can I maintain it throughout the pipeline?
Implement data validation checks at each stage of the pipeline and use monitoring tools to track data quality metrics.
Are there any specific tools you recommend for building data pipelines?
Popular tools include Apache Kafka for streaming, Apache Airflow for orchestration, and dbt for data transformation.
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