**Sources**: Data Engineering Weekly, Bytes; vendor release notes (AWS, GCP, Confluent); OSS (Spark, dbt); experiment in sandbox; community (Twitter, Slack). Focus: lakehouse, real-time, data mesh. Balance breadth and depth; prioritize relevance; avoid chasing every new tool.
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Amazon. The answer also includes follow-up discussion points that interviewers commonly explore.
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