Data Pipeline
Definition
A series of data processing steps that move and transform data from source systems to destination systems in an automated, reliable manner.
Overview
A data pipeline is an automated sequence of processes that ingests raw data from various sources, processes and transforms it, and delivers it to destination systems for analysis or operational use. Modern data pipelines often handle real-time streaming data alongside batch processing. They include error handling, monitoring, and retry logic to ensure reliable data delivery. Data pipelines are essential for maintaining data freshness in analytics and operational systems.
Why It Matters
Broken or slow data pipelines mean executives make decisions on outdated information, operations teams react to yesterday's problems, and customers receive inconsistent experiences. Reliable pipelines are the circulatory system of a data-driven enterprise.
How New Odyssey Helps
New Odyssey builds intelligent data pipelines with AI-driven anomaly detection and self-healing capabilities, ensuring enterprise data flows reliably across all systems around the clock.
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