Free ebookEvent-Driven Data Modeling with PostgreSQL: Designing for Streams, Time, and Change

Course Description

Event-Driven Data Modeling with PostgreSQL: Designing for Streams, Time, and Change is a practical database course in the Information Technology category that teaches you how to design systems where events are the source of truth. Instead of overwriting records and losing context, you will learn to model append-only event data in PostgreSQL so your applications can capture change, support audits, and power reliable downstream pipelines.

You will build event-driven thinking for database design by focusing on idempotency, deduplication, and exactly-once effects so event ingestion stays correct even under retries and failures. The course explains how to reason about time, sequence, and ordering guarantees in event streams, and how to design event payloads that balance flexibility and performance using JSONB alongside typed columns. You will also learn partitioning strategies for high-volume event tables and indexing approaches that keep temporal queries, stream reads, and historical lookups fast as data grows.

As you progress, you will query historical state with point-in-time views and learn to build read models using projections and materialized views for application-friendly queries. You will see how to maintain projections with incremental and replayable processing, enabling safe rebuilds and confident troubleshooting. The course also covers schema evolution for events with backward-compatible change, plus auditing, traceability, and data lineage practices that connect operational events to business outcomes.

To support production reliability, you will explore the outbox pattern and logical replication for durable event publication, and learn how to shape analytics-ready event data for operational-to-analytical flows. The capstone guides you through implementing an event-sourced domain with replayable history and performant read models, tying together PostgreSQL data modeling, stream-aware querying, and scalable database design.

Start this course now to design PostgreSQL databases that handle streams, time, and change with confidence, and turn raw events into trustworthy applications and actionable analytics.