BIG DATA IN SMALL CHUNKS
At BigData TLDR, we make big data learning practical, hands-on, and accessible. From Apache Spark and SQL to AWS, Databricks, and data engineering, our goal is to help you build skills that matter in the real world.
We focus on interactive tutorials, real-world scenarios, and clear explanations so you can go beyond theory and start solving real data challenges from day one. Whether you’re a beginner or looking to upskill, we’ve got you covered.
We are dedicated to providing high-quality content, staying up-to-date
About BigDataTLDR
BigDataTLDR exists for one simple reason — most technical content is unnecessarily long, scattered, and hard to apply. I built this site to cut through that noise and deliver what actually matters: clear, concise, and practical explanations you can use immediately.
Who I Am
I'm Ayush Agarwal, a Data Engineer with 5+ years of experience working on production systems where performance, scalability, and correctness aren't optional — they're critical.
I’ve worked extensively with big data technologies, backend systems, and databases, and I hold a Master’s degree in Data Science from the University of Glasgow. I also have 2 papers (1 published 1 in review) on Multi Agentic LLM and Question Generation. My dissertation was on 'Trustworthiness of AI assests using Knowledge Graphs'. My work sits at the intersection of theory and real-world execution — which is exactly the gap this site is designed to bridge.
Why This Site Matters
When you're learning or building, you don’t need more content — you need the right content. Whether you're preparing for interviews, debugging a Spark job, or revisiting core concepts, this platform gives you focused, no-fluff explanations that respect your time.
Everything here is written from an engineer’s perspective — practical, tested, and straight to the point.