Build a Real-Time E-Commerce Analytics API from Kafka in 15 Minutes
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A step-by-step guide to building a real-time e-commerce analytics API using Kafka as the data source. Covers connecting to Kafka, ingesting order events, enriching data with dimension tables and PostgreSQL, creating materialized views for pre-aggregated metrics, and exposing multiple API endpoints. The tutorial progresses from a basic 5-minute setup querying raw Kafka data to advanced features including data enrichment, automated PostgreSQL syncing, and optimized aggregations using materialized views. All implementation uses SQL and configuration without requiring application code.
Table of contents
What You'll BuildArchitecture OverviewPrerequisitesPart 1: Kafka to API - Get Started in 5 MinutesStep 2: Create Kafka Data Source for Real-Time IngestionPart 2: Enrich Data with Dimension TablesPart 3: Add PostgreSQL EnrichmentPart 4: Create Materialized Views for Fast Analytics QueriesPart 5: Build Advanced Real-Time Analytics API EndpointsStep 8: Deploy and Test Your Analytics APIReal-Time UpdatesPerformance CharacteristicsNext StepsRelated DocumentationConclusionSort: