II.
LibraryProcess overview
Reference · livelib-process:data-engineering-analytics--feature-store
feature-store overview
Feature Store Setup for Data Engineering - Design and implement production-ready feature store infrastructure with feature engineering pipelines, offline/online stores, feature serving, versioning, and comprehensive monitoring. Supports Feast, Tecton, and cloud-native feature stores.
Attributes
displayName
feature-store
description
Feature Store Setup for Data Engineering - Design and implement production-ready feature store
infrastructure with feature engineering pipelines, offline/online stores, feature serving, versioning,
and comprehensive monitoring. Supports Feast, Tecton, and cloud-native feature stores.
libraryPath
library/specializations/data-engineering-analytics/feature-store.js
specialization
data-engineering-analytics
references
- - Feast Feature Store: https://docs.feast.dev/ - Tecton Feature Platform: https://docs.tecton.ai/ - AWS SageMaker Feature Store: https://docs.aws.amazon.com/sagemaker/latest/dg/feature-store.html - GCP Vertex AI Feature Store: https://cloud.google.com/vertex-ai/docs/featurestore - Feature Store Best Practices: https://www.featurestore.org/ - Feature Engineering at Scale: https://www.oreilly.com/library/view/feature-engineering-for/9781492053811/ - Training-Serving Skew Prevention: https://developers.google.com/machine-learning/guides/rules-of-ml/
example
const result = await orchestrate('specializations/data-engineering-analytics/feature-store', {
projectName: 'E-commerce Feature Store',
platform: 'feast',
features: [
{ name: 'user_features', entity: 'user', updateFrequency: 'daily' },
{ name: 'product_features', entity: 'product', updateFrequency: 'hourly' },
{ name: 'realtime_events', entity: 'session', updateFrequency: 'streaming' }
],
requirements: {
onlineLatency: '10ms',
offlineQueryTime: '5min',
dataVolume: '100GB',
featureCount: 500,
monitoring: true,
versioning: true
}
});
usesAgents
- data-architect
- feature-registry-engineer
- online-store-engineer
- offline-store-engineer
- pipeline-engineer
- streaming-engineer
- serving-engineer
- versioning-specialist
- consistency-validator
- monitoring-engineer
- quality-engineer
- performance-engineer
- alerting-engineer
- quality-specialist
- backfill-engineer
- infrastructure-engineer
- qa-engineer
- performance-tester
- consistency-tester
- technical-writer
Outgoing edges
lib_applies_to_domain1
- domain:data-engineering·DomainData Engineering
lib_belongs_to_specialization1
- specialization:data-engineering-analytics·Specialization
lib_implements_workflow1
- workflow:data-pipeline-deployment·WorkflowData Pipeline Deployment
uses_agent6
- lib-agent:software-architecture--data-architect·LibraryAgentdata-architect
- lib-agent:decision-intelligence--consistency-validator·LibraryAgentconsistency-validator
- lib-agent:software-architecture--performance-engineer·LibraryAgentperformance-engineer
- lib-agent:mechanical-engineering--quality-specialist·LibraryAgentquality-specialist
- lib-agent:shared--qa-engineer·LibraryAgentqa-engineer
- lib-agent:meta--technical-writer·LibraryAgenttechnical-writer
Incoming edges
None.