Orchestrating Dynamic Data Flows, AgileData Engineering Pattern #1 - Episode #67

Join Shane Gibson and Nigel Vining as they describe and discuss the AgileData Engineering Pattern of Orchestrating Dynamic Data Flows. The Dynamic Data Flow Orchestration pattern dynamically generates and self-heals data flow manifests (DAGs) at runtime from a central context database, enabling adaptive, cost-effective, and low-latency data processing primarily for micro-batching workloads An AgileData Engineering Pattern is a repeatable, proven approach for solving a common data engineering challenge in a simple, consistent, and scalable way, designed to reduce rework, speed up delivery, and embed quality by default. If you want a copy of the pattern template head over to: https://agiledata.substack.com/i/167144707/pattern-name Discover more AgileData Engineering Patterns over at https://agiledata.substack.com/s/agiledata-engineering-patterns If you just want to talk about making magic happen with agile and data you can connect with Shane @shagility on LinkedIn. Subscribe: Apple Podcast | Spotify | Google Podcast | Amazon Audible | TuneIn | iHeartRadio | PlayerFM | Listen Notes | Podchaser | Deezer | Podcast Addict | Buy the Green Book now! Simply Magical Data Ways of Working