Statements (83)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:shopping_mall
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:AWS_Sage_Maker
|
| gptkbp:can_be_used_with |
gptkb:Amazon_EMR
|
| gptkbp:constructed_in |
high availability
scale with demand AWS infrastructure data scalability |
| gptkbp:enables |
collaboration among teams
data-driven decisions data consistency feature reuse faster model deployment feature discovery |
| gptkbp:facilitates |
machine learning workflows
|
| https://www.w3.org/2000/01/rdf-schema#label |
Sage Maker Feature Store
|
| gptkbp:integrates_with |
AWS services
|
| gptkbp:is_accessible_by |
gptkb:API
gptkb:AWS_Management_Console SD Ks |
| gptkbp:is_compatible_with |
gptkb:Jupyter_notebooks
data lakes data regulations |
| gptkbp:is_designed_for |
enterprise applications
real-time applications data scientists and engineers |
| gptkbp:is_designed_to |
reduce latency
enhance productivity improve data accessibility simplify feature management |
| gptkbp:is_integrated_with |
gptkb:Amazon_Redshift
data warehouses |
| gptkbp:is_optimized_for |
scalability
|
| gptkbp:is_part_of |
gptkb:Database_Management_System
AWS ecosystem cloud-based solutions data science lifecycle |
| gptkbp:is_used_by |
data scientists
machine learning engineers |
| gptkbp:is_used_for |
data analysis
data preprocessing feature engineering data modeling model training feature storage |
| gptkbp:is_used_in |
predictive analytics
AI applications customer analytics fraud detection systems real-time bidding systems |
| gptkbp:notable_products |
features
|
| gptkbp:offers |
data ingestion
data visualization tools data access controls data retrieval capabilities |
| gptkbp:part_of |
gptkb:temple
|
| gptkbp:provides |
data lineage tracking
data security metadata management real-time analytics data retention policies automated backups data quality checks data export capabilities data access logs feature management |
| gptkbp:suitable_for |
large datasets
|
| gptkbp:supports |
data enrichment
data governance data integration data sharing data synchronization data transformation data validation data classification data retention data aggregation data exploration data pipelines real-time access multi-region access batch retrieval |
| gptkbp:uses |
data versioning
|