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
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: