



How do you reconcile data between source systems and the data warehouse using ETL?
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what is etl process
- How can a data fabric help organizations better manage and orchestrate their increasingly complex and distributed ETL landscapes?
- What are the benefits of using ETL?
- What are imputation techniques for missing data in ETL?
- How do you estimate the effort for an ETL project?
- How does ETL support data privacy regulations like GDPR and CCPA?
- What are the ethical considerations for using large datasets in a data lake processed by ETL/ELT for AI/ML applications?
- How do you handle late-arriving data in ETL?
- How has the evolution of data architectures (from data warehouse to data lake to data mesh) impacted the role and design of ETL processes?
- How can organizations evaluate the readiness and suitability of their existing data infrastructure for adopting a data fabric approach to enhance their ETL capabilities?
- What are the advantages of cloud-based ETL?
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