How do you set up alerts for ETL pipeline failures?
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what is etl data pipeline
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- What is data federation? How does data federation differ from ETL?
- What are lookup transformations in ETL? What are join transformations in ETL?
- How does ETL populate data warehouse schemas?
- How can organizations effectively measure the business value and return on investment of their ETL initiatives? What are the best practices for building self-service ETL capabilities that empower business users to access and transform data without relying solely on IT teams? How can organizations leverage metadata management tools and techniques to improve the understandability, discoverability, and governance of their ETL pipelines? What are the key challenges and solutions for ensuring the scalability and performance of ETL pipelines that handle massive datasets and high data volumes? How can organizations effectively integrate data quality monitoring and data governance processes into their ETL workflows to ensure the reliability and trustworthiness of their data assets? What are the best practices for building resilient and fault-tolerant ETL pipelines that can automatically recover from failures and minimize data loss? How can organizations leverage artificial intelligence and machine learning technologies to automate and optimize various aspects of the ETL process, such as data quality checks, anomaly detection, and performance tuning?
- What is orchestration in the context of ETL? What are ETL orchestration tools?
- What are the trade-offs between cost and performance in ETL?
- How do you monitor the health and performance of ETL infrastructure?
- When is ELT a better choice than ETL? What are the challenges of ELT?
- Why are staging areas used in ETL? What are the different approaches to ETL implementation?
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