Data Systems🌱Seed (Learned)

🧩 Data-Intensive Applications

Systems where data (quantity, complexity, rate of change) is the primary bottleneck, not CPU power.

Evaluate a system's architecture based on the trade-offs between Reliability, Scalability, and Maintainability.

Understanding the responsibility of managing data that affects people's lives (Privacy, Fairness, and Democracy).

✔Student can classify an application as Data-Intensive or Compute-Intensive based on its bottleneck.

🤔 Reflection:

"Why does the shift from Compute-Intensive to Data-Intensive necessitate the 'Three-Legged Stool' architecture?"

Big Data just means 'lots of bytes'. (It also means complexity and velocity).