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Orchestrating Dynamic Data Flows, AgileData Engineering Pattern #1 - Episode #67
Manage episode 491611951 series 3643538
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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 want to join us on the next podcast, get in touch over at https://agiledata.io/podcasts/#contact
Or if you just want to talk about making magic happen with agile and data you can connect with Shane @shagility on LinkedIn.
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