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

2025-06-30

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 workloadsAn AgileData Engineering Pattern is a repeatable, proven approach for solving a common data engineering challenge in a simple, consistent, and ...

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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