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What are the pros and cons of using a data lake on AWS, GCP, or Azure?

Cloud/Toolshard0.4 min readPremium
Frequency
Low
Asked at 1 company
Category
179
questions in Cloud/Tools
Difficulty Split
104E|27M|48H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
BCG
Key Concepts Tested
bigquerysql
Expert AnswerPremium
78 wordsInterview-ready
**AWS**: Mature ecosystem (S3, Glue, Athena, EMR). Strong for hybrid (DataSync, Snowball). Service sprawl—many options, steeper learning. **GCP**: Strong BigQuery (serverless SQL); Dataflow (Beam); good integration. Smaller market share; fewer third-party integrations. **Azure**: ADLS Gen2 (hierarchical namespace); Synapse combines lake + warehouse. Strong enterprise presence; complexity in multi-service setup....
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 BCG. The answer also includes follow-up discussion points that interviewers commonly explore.

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