Understanding Data Ingestion Patterns -Pipeline

Streaming Ingestion

Definition

Ingests data continuously in real time as it arrives.

Use Cases

• Capturing sensor data from IoT devices

• Collecting real-time user activity logs (e.g., telecom, automotive)

Supported Components

• Kafka Consumer

• MQTT Consumer

• RabbitMQ Consumer

• Azure Event Hub Subscriber

• SFTP Stream Reader

Best Practices

• Ensure data is idempotent to prevent duplicates

• Implement backpressure handling to manage data flow

• Use windowing techniques for time-based aggregation

API-Based Ingestion

Definition

Ingests data via APIs exposed by external systems or services.

Use Cases

• Integrating with SaaS applications

• Fetching data from third-party APIs

Supported Components

• API Ingestion Module

Best Practices

• Manage API rate limits and authentication securely

• Use caching strategies to reduce the number of API calls

Change Data Capture (CDC)

Definition

Captures and replicates data changes (inserts, updates, deletes) from source systems in real time.

Use Cases

• Synchronizing changes from source databases (e.g., MongoDB)

Supported Components

• MongoDB Change Stream Listener

Best Practices

• Ensure the source database supports CDC features

• Monitor replication lag and system performance