03 — Curriculum
Course content
3 sections · 6 lectures
ADaSci Academy
The Science Behind Modern Data Platforms
This course explains the architectural principles behind modern data platforms. You will learn how storage scales beyond physical limits, how analytics engines process massive datasets efficiently, and how a lakehouse ar…
3,701+ enrolled
3 hours
Beginner
01 — Overview
About this course
This course explains the architectural principles behind modern data platforms. You will learn how storage scales beyond physical limits, how analytics engines process massive datasets efficiently, and how a lakehouse architecture works through a hands on Spark demonstration.
02 — Outcomes
What you'll learn
✓
Why modern data platforms separate storage and compute✓
How object storage enables infinite scale data systems✓
The internal physics of analytics engines and distributed query execution✓
How columnar storage and predicate pushdown accelerate analytics✓
How lakehouse architectures unify data lakes and analytics engines04 — Prerequisites
Requirements
- Basic understanding of databases and SQL
- Familiarity with data analytics concepts
- Some exposure to cloud or distributed systems is helpful
- Basic understanding of data formats like CSV or Parquet
- Curiosity about how modern data platforms work internally
05 — Audience
Who should take this course
- Data engineers who want deeper architectural understanding
- Data scientists curious about how analytics engines work internally
- Software engineers entering the data platform ecosystem
- Analytics professionals working with modern cloud data stacks
- Students exploring large scale data systems
$49.00
Member Pricing
FREE with Premium
50% off with General
Duration3h
LevelBeginner
$49.00