Everything for aBig Data + AI Engineer
System Design · Setup Guides · LLM Deep Dives · Interview Prep · Cheatsheets. One platform — daily work, career growth, and staying current.
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System Design · Kafka · Spark · Flink · Airflow · dbt
Setup guides, deep dives, cheatsheets, and interview Q&A for every major Big Data tool.
Netflix · Uber · YouTube · WhatsApp · BookMyShow
Interactive architecture diagrams, trade-offs, capacity estimates, and mock interviews. Built for senior engineering roles.
RAG · Agents · OpenAI · Claude · Gemini · Llama
Build production AI systems — RAG pipelines, agents, chatbots, fine-tuning, and model comparisons.
System Design · Kafka · Spark · SQL · AI/ML · Behavioral
Topic-wise Q&A banks, grilling sessions, and system design walkthroughs for Big Data and AI roles.
🚀 Get started
Step-by-step setup guides — copy, paste, run.
⭐ Featured
View Netflix system design →System Design: Real-Time Data Pipeline
Design a real-time data pipeline that ingests 1M events/second, processes them, and serves analytics — with architecture diagram and trade-off discussion.
Kafka Local Setup — From Zero to Running in 10 Minutes
Run Kafka locally using Docker Compose. Create topics, produce messages, consume them, and understand what's happening under the hood.
Spark Architecture — How it Actually Works
Driver, executors, DAG scheduler, shuffle — the complete mental model for how Spark executes a job and where things go wrong.
SQL Cheatsheet — Window Functions, Joins, Optimization
The most important SQL patterns for data engineers — window functions, CTEs, joins, aggregations, and query optimization.
Kafka Interview Questions — Top 50 with Answers
The 50 most-asked Kafka interview questions with detailed answers — basics, internals, exactly-once semantics, Kafka Streams, Connect, production tuning, and system design scenarios.
RAG Pipeline — Complete Production Guide
Build a production-ready RAG pipeline: chunking strategy, embedding models, vector DBs, retrieval, re-ranking, and generation.
🕐 Latest
View all →Apache Flink Interview Questions — Top 30 with Answers
The 30 most-asked Apache Flink interview questions with detailed answers — streaming fundamentals, state management, watermarks, windowing, checkpointing, and production scenarios.
Spark Interview Questions — Internals, Optimization, and Production Patterns
The most-asked Apache Spark interview questions: RDDs vs DataFrames, DAG execution, shuffle, AQE, skew handling, memory tuning, and Structured Streaming.
SQL Interview Questions — Window Functions, CTEs, and Scenario Problems
The most-asked SQL questions in data engineer and analytics engineer interviews — window functions, CTEs, sessionization, deduplication, and funnel analysis.
What this site is best for
- ✓Preparing for senior data engineer and backend engineer interviews
- ✓Deep-diving Netflix, Uber, or distributed system architectures
- ✓Setting up Kafka, Spark, Airflow, or dbt in minutes — not hours
- ✓Quick-reference cheatsheets you can open mid-work
- ✓Understanding LLM trade-offs, RAG pipelines, and agent patterns
Built from real interview prep
Every guide, diagram, and Q&A bank is drawn from real system design interview experience — production-style scenarios, not textbook theory.
Coming next
- →Uber system design — ride matching, surge pricing, location ingestion
- →Kafka Q&A bank — questions 17–50 with full answers
- →Data Engineer roadmap — 6-week structured path
dbt incremental models use a filter on the timestamp to only process new/changed rows — reduces full-table scans.
Tip #23 of 50 · rotates daily
Stay ahead of the interview
New system design guides, Q&A banks, and cheatsheets — delivered when they land.
Built in public, growing daily
Every guide, comparison, and cheatsheet is added as the industry evolves. No filler — just content that actually works in production.