Sync Patterns (data integration)

Data integration patterns include push vs pull, polling vs webhooks, batch vs stream processing, and event-driven architecture. Each pattern has unique implementation considerations and benefits. For real-time updates, webhooks and CDC with Kafka are preferable, while batch processing suits less time-sensitive tasks. Event-driven architecture decouples systems and is useful for complex workflows.