The current standard for pipeline orchestration relies on engineers to manually translate high-level specs into a set of tasks to be executed on a pre-defined schedule. In advancing orchestration, Ascend opted for a different approach. Taking a page from compilers and query planners, we leverage algorithms to generate and schedule tasks to produce the correct specifications. In this whitepaper, we compare and contrast both approaches to pipeline orchestration and the impact to data engineering. Download the whitepaper by submitting the form below:

5 Data Engineering Best Practices Every Data Team Should Use
Data engineering in 2025 isn’t just about moving data—it’s about ensuring reliability, security, and scalability as data ecosystems grow in complexity. As pipelines grow more