Data Pipeline
A data pipeline is the overarching architecture that transports data from source to target system while orchestrating all necessary processing steps. Unlike an ETL pipeline, it also encompasses real-time streaming, event processing, and multi-stage transformation chains — it is the complete data flow from raw source to consumption.
Why does this matter?
Modern business processes need more than overnight batch jobs: orders must be processed in real time, inventory updated to the minute, and AI models supplied with current data. Data pipelines are the lifelines of your digital business processes — connecting data sources with decision-making systems.
How IJONIS uses this
We design data pipelines as modular architectures with Apache Airflow for batch orchestration, Apache Kafka for streaming, and dbt for transformations. Every pipeline includes health checks, alerting, and automatic retry on failure — because a pipeline is only as good as its reliability.