Google Cloud AI Platform Feature Store
GPTKB entity
Statements (145)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:App_Store
|
| gptkbp:allows |
feature sharing
|
| gptkbp:api |
gptkb:Java
gptkb:Python gptkb:Go |
| gptkbp:developed_by |
gptkb:Google
|
| gptkbp:enables |
collaboration among teams
feature engineering feature monitoring feature reuse real-time feature retrieval |
| gptkbp:facilitates |
data discovery
data consistency collaboration among data scientists |
| https://www.w3.org/2000/01/rdf-schema#label |
Google Cloud AI Platform Feature Store
|
| gptkbp:integrates_with |
gptkb:Tensor_Flow
gptkb:Big_Query gptkb:weapons Google Cloud services |
| gptkbp:is_accessible_by |
gptkb:Google_Cloud_Console
REST API gcloud command line |
| gptkbp:is_available_for |
research institutions
startups enterprise use |
| gptkbp:is_available_in |
multiple regions
|
| gptkbp:is_available_on |
gptkb:Google_Cloud_Console
|
| gptkbp:is_compatible_with |
gptkb:Kubernetes
gptkb:Tensor_Flow gptkb:Cloud_Functions gptkb:scikit-learn gptkb:Py_Torch gptkb:Docker gptkb:weapons gptkb:Cloud_Run |
| gptkbp:is_documented_in |
Google Cloud documentation
|
| gptkbp:is_integrated_with |
gptkb:Big_Query
gptkb:Cloud_Functions gptkb:Cloud_Pub/_Sub gptkb:Dataproc gptkb:Vertex_AI gptkb:cloud_storage gptkb:Cloud_Run Dataflow |
| gptkbp:is_managed_by |
gptkb:Google_Cloud
|
| gptkbp:is_optimized_for |
large datasets
real-time applications high throughput batch processing |
| gptkbp:is_part_of |
gptkb:ecosystem
data pipeline Google Cloud AI services Google Cloud AI ecosystem AI and machine learning ecosystem AI and machine learning solutions data science workflow AI and machine learning workflows ML model training process data preparation phase |
| gptkbp:is_scalable |
yes
large datasets enterprise-level applications |
| gptkbp:is_supported_by |
technical support
community forums Google Cloud documentation |
| gptkbp:is_used_by |
data scientists
data engineers machine learning engineers |
| gptkbp:is_used_for |
data analysis
data governance data integration data science projects data visualization predictive analytics model evaluation feature selection data modeling data warehousing machine learning model training data quality assurance model training feature retrieval A/ B testing feature storage feature engineering workflows feature serving |
| gptkbp:offers |
API access
security features user-friendly interface data lineage data import/export data ingestion tools batch serving feature transformation capabilities online serving versioning of features |
| gptkbp:part_of |
gptkb:Google_Cloud_Platform
|
| gptkbp:provides |
data lineage tracking
data transformation capabilities monitoring tools real-time analytics scalability security features user-friendly interface data validation tools data consistency monitoring dashboards data versioning data quality checks data ingestion capabilities feature monitoring managed feature storage feature transformation feature metadata management feature discovery feature management |
| gptkbp:security |
yes
|
| gptkbp:suitable_for |
real-time applications
batch processing |
| gptkbp:supports |
gptkb:machine_learning
data preprocessing data governance data privacy data synchronization data transformation data validation multi-cloud environments multi-tenancy real-time analytics data lineage feature engineering machine learning models feature scaling data exploration data pipelines multi-region deployment data versioning automated feature generation automated feature engineering batch feature retrieval feature discovery feature aggregation online and offline features |
| gptkbp:bfsParent |
gptkb:Google
|
| gptkbp:bfsLayer |
4
|