Data + ML

Concepts, Notes and Intuitions

GPU Essentials - A Concise Technical Guide

A concise, technical guide to GPU architecture and CUDA, showing how massive parallelism is achieved through threads, blocks, SMs, and memory hierarchies.

26 min read · 2025

Wrapping Up Our ML Foundations Journey

A reflection on our exploration of machine learning fundamentals, from mathematical prerequisites to gradient boosting.

3 min read · 2025

Apache ZooKeeper

Realtime and Big Data Analytics Course at NYU Courant - Conceptual Notes 8

30 min read · December 17, 2025

2025 · RBDA-NYU
Apache HBase

Realtime and Big Data Analytics Course at NYU Courant - Conceptual Notes 7

19 min read · December 16, 2025

2025 · RBDA-NYU
Hive & Trino

Realtime and Big Data Analytics Course at NYU Courant - Conceptual Notes 6

10 min read · December 16, 2025

2025 · RBDA-NYU
MapReduce Design Patterns

Realtime and Big Data Analytics Course at NYU Courant - Conceptual Notes 5

4 min read · December 15, 2025

2025 · RBDA-NYU
Big Data Processing Concepts & MapReduce

Realtime and Big Data Analytics Course at NYU Courant - Conceptual Notes 4

24 min read · December 15, 2025

2025 · RBDA-NYU

Data + ML

Concepts, Notes and Intuitions

GPU Essentials - A Concise Technical Guide

Wrapping Up Our ML Foundations Journey

Apache ZooKeeper

Apache HBase

Hive & Trino

MapReduce Design Patterns

Big Data Processing Concepts & MapReduce