# [TECH] Cloud Computing & Big Data

**Cloud Computing** provides on-demand access to computing resources (servers, storage, AI) via the internet, transforming IT from capital expenditure to utility service.

## Overview

Amazon Web Services (2006) launched the modern cloud market; Microsoft Azure (2010) and Google Cloud (2011) followed. Cloud computing enables startups to build global services with zero upfront infrastructure cost. Big Data platforms (Hadoop 2006, Spark 2009) allow analysis of datasets too large for single machines. By 2023, >60% of enterprise IT workloads run in the cloud. The cloud is now the primary substrate for AI training — GPT-4 required ~10²³ FLOP of compute, possible only in large-scale data centres.

## Key Actors

- **Companies**: Amazon (AWS, 2006), Microsoft (Azure, 2010), Google (GCP, 2011), Alibaba Cloud (2009), Salesforce, Snowflake
- **Inventors**: Andy Jassy (AWS architect), Werner Vogels (Amazon CTO)

## Key Patents

Wide patent portfolio; Amazon's elastic compute cloud (US Patent 7,865,614, 2011) is foundational.

## Economic Value

Global cloud computing market: **\$600 billion/year** (2023, Gartner). Projected to reach \$2T by 2030. Value created by cloud-enabled businesses (Netflix, Airbnb, Uber, etc.): \$10T+ in market capitalisation.

## Notes

Gartner *Cloud End-User Spending Forecast* 2023. The cloud market is growing at ~22%/year CAGR.

## What This Enables
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- **[TECH] AI & Large Language Models** — GPT-4, Claude, and Gemini are trained on clusters of thousands of GPUs in cloud data centres; inference also runs in the cloud.
- **[TECH] Quantum Computing Hardware** — Cloud provides the classical control systems, networking, and user-accessible APIs wrapping quantum processors (IBM Quantum, AWS Braket).
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# Parents

* [TECH] Personal Computer
* [TECH] Personal Computer
* [TECH] Mobile Phones & Smartphones
* [TECH] Internet & World Wide Web