Scalable Intelligence: Building Data-Driven Platforms for Ads, Learning, and Streaming

Abstract

Scalable Intelligence: Building Data-Driven Platforms for Ads, Learning, and Streaming

Objectives:
1. To explain how scalable data architectures, support high-volume applications such as
advertising platforms, learning systems, and streaming services.
2. To analyze techniques for building intelligent systems that process real-time data efficiently
and deliver personalized user experiences.
3. To explore machine learning and AI-driven methods that optimize ad targeting, content
recommendations, and learner engagement.

4. To examine strategies for ensuring performance, reliability, and elasticity in large-scale data-
driven ecosystems.

5. To highlight best practices for integrating analytics, automation, and cloud-native
technologies to enable end-to-end intelligence.

Table of Contents
CHAPTER 1 Introduction to Data-Driven Platforms
CHAPTER 2 Architecting for Scale
CHAPTER 3 Data Ingestion and Processing at Scale
CHAPTER 4 Architecting a Scalable Ad Platform
CHAPTER 5 Intelligence in Advertising
CHAPTER 6 Building a Scalable Machine Learning Platform
CHAPTER 7 Advanced Learning Systems
CHAPTER 8 Engineering High-Performance Streaming Platforms
CHAPTER 9 Data-Driven Intelligence in Streaming
CHAPTER 10 Unifying the Platforms
CHAPTER 11 The Future of Data-Driven System