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:
Leveraging AI & Automation in Data Engineering: 4 Essential Frameworks
Data engineering is evolving rapidly, driven by advancements in AI and automation. As teams face increasing demands, the need for efficient and effective solutions has never been greater. This article