Big Data Fundamentals

A hands-on Big Data mock interview assessing distributed systems, data processing, ingestion, analytics, and scalability for real-world skill practice.

Interview Details

The Big Data Fundamentals Interview by Educative, conducted by Edward, is a realistic mock interview for Data Engineers. It tests distributed storage, data processing (Hadoop, Spark, MapReduce), ingestion (Kafka, Flume, NiFi), analytics (Hive, Spark SQL), and scalability. Tailored to experience level, it blends conceptual, coding, and scenario-based questions. Candidates practice problem-solving, trade-offs, and real-world design decisions while developing confidence for technical interviews.

Goals:

Assess understanding of Big Data fundamentals
Test distributed storage & processing skills
Evaluate data ingestion and pipeline design
Examine analytics, querying, and optimization
Strengthen real-world problem-solving & system design skills

The interviewer simulates a real-world interview an adapts accordingly.

Ask for hints or clarifications if you're stuck.

45 Responses

Built to Simulate the MAANG Experience

Prep for Every Loop

Practice explaining complex technical concepts verbally to build confidence and refine your communication skills.

Detailed Analysis

Unlock insights that highlight your weaknesses and gives you sample responses.

Instant, Actionable Feedback

Receive immediate, targeted guidance on solution correctness, complexity, and approach.

Interactive Environment

Hone your coding logic in an editor and bring your system designs to life with an integrated diagramming workspace.

Tailored to Your Preferences

Get relevant practice scenarios for your role and experience, whether you're a junior or an engineering manager.

Big Data Fundamentals

Interview Details

Interview Guidelines