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Exponent LogoExponent
    • Product Management
      Ace product interviews from strategy cases to technical skills.
    • Engineering Management
      Review key leadership and people management skills.
    • Software Engineering
      Learn essential strategies for coding problems and more.
    • System Design
      Define architectures, interfaces, and databases in a time crunch.
    • Data Science
      Execute statistical techniques and experimentation effectively.
    • Machine Learning
      Review building, evaluating, and deploying AI/ML models.
    • Data Engineering
      Design complex data models and ETL pipelines.
    • Data Analytics
      New
      Translate data into actionable insights and business decisions.
    View all courses
    • Product Management
    • Behavioral Questions
    • Coding Questions
    • System Design
    • SQL Questions
    • Machine Learning
    • Data Analytics
    • Data Engineering
    Browse all questions
  • Practice
    • Mock Interviews & Coaching
      Practice with our team of senior tech coaches.
    • Resume Review
      Get your resume reviewed by a senior tech recruiter.
    • Salary Negotiation
      Increase your offer with our expert negotiators.
    • For universities
      Give your students tech interview prep.
    • For businesses
      Improve your placement rates, outcomes, and more.
    • Affiliate program
      Recommend us to others and earn commission.
    • Work with us
      Help us grow the Exponent community.
  • Pricing
    • Job Referrals
      Get job referrals to top tech companies.
    • Company Guides
      Get an inside look at top companies’ interview processes.
    • Blog
      Check out our blog on tech interviewing tips, strategies, and more.
    • Resources
      Members-only articles, videos, and interviews.
    • Work with us
      Help us grow the Exponent community.
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Data Pipeline Design Questions
Introduction to ETL Design QuestionsHow to Answer ETL Design QuestionsRubric for ETL QuestionsETL Pipeline Tools & TechnologiesETL vs. ELT
Data SourcesData Destinations
How to Approach the Data Extraction StageReal-Time Data ExtractionHigh-Volume Batch ExtractionSemi-Structured or Unstructured Data ExtractionHigh-Quality Data Extraction (Critical Data)Data Extraction Tips & Takeaways
How to Approach the Data Transformation StageReal-Time Data TransformationBatch Data TransformationData Cleansing & Enrichment TransformationData Transformation Tips & Takeaways
How to Approach the Data Loading StageReal-Time Data LoadingBatch Data LoadingData Loading into Data LakesHigh-Quality Data Loading (Critical Data)Data Loading Tips & Takeaways
Performance Optimization StrategiesScaling an ETL PipelineMaking your ETL Pipeline Fault-Tolerant
Design Netflix's Clickstream Data PipelineDesign an ETL Pipeline for Slack for SchoolDesign an ETL Pipeline for a ML Platform for AWS
Unlock full course
Data Pipeline Design Questions
Introduction to ETL Design QuestionsHow to Answer ETL Design QuestionsRubric for ETL QuestionsETL Pipeline Tools & TechnologiesETL vs. ELT
Data SourcesData Destinations
How to Approach the Data Extraction StageReal-Time Data ExtractionHigh-Volume Batch ExtractionSemi-Structured or Unstructured Data ExtractionHigh-Quality Data Extraction (Critical Data)Data Extraction Tips & Takeaways
How to Approach the Data Transformation StageReal-Time Data TransformationBatch Data TransformationData Cleansing & Enrichment TransformationData Transformation Tips & Takeaways
How to Approach the Data Loading StageReal-Time Data LoadingBatch Data LoadingData Loading into Data LakesHigh-Quality Data Loading (Critical Data)Data Loading Tips & Takeaways
Performance Optimization StrategiesScaling an ETL PipelineMaking your ETL Pipeline Fault-Tolerant
Design Netflix's Clickstream Data PipelineDesign an ETL Pipeline for Slack for SchoolDesign an ETL Pipeline for a ML Platform for AWS
Unlock full course