Advanced

Ascend's advanced capabilities enable sophisticated data engineering workflows through powerful runtime contexts, intelligent optimization strategies, and flexible configuration options. These features help teams build more efficient, maintainable, and scalable data pipelines.

🔧Context objects

The foundation of Ascend's runtime environment, providing Components with access to resources, configuration, and services.

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⚙️Concurrency

Maximize performance while maintaining reliability through proper concurrency controls at Connection and Flow levels.

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🔄Retry strategies

Make your data pipelines more resilient by automatically retrying failed operations.

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🐍Where Python executes

Understand how and where Python Components run within Ascend.

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Related concepts

Smart Components & Partitioning

Smart Components leverage Ascend's intelligence to automatically optimize data processing through micro-partitioning and fingerprinting. They track metadata about data and code to determine the most efficient processing strategies without requiring manual optimization.

Build your own Smart Python Read Component or Smart Python Transform with our step-by-step guides.