BI Engine
E97119
BI Engine is an in-memory analysis service for Google BigQuery that accelerates and optimizes interactive business intelligence and dashboard queries.
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
Google Cloud service
→
in-memory analysis service → |
| accessMethod |
BI tool connectors to BigQuery
→
BigQuery API → BigQuery UI → |
| benefit |
improved dashboard interactivity
→
lower latency for BI workloads → reduced query response time → transparent acceleration without query changes → |
| category |
BI query accelerator
→
analytics acceleration engine → |
| configuration |
per-project settings
→
reservation-based capacity → |
| dataLocation |
within BigQuery storage layer
→
|
| deploymentModel |
fully managed
→
serverless → |
| designedFor |
Google BigQuery
→
|
| developedBy |
Google
→
|
| featureOf |
BigQuery Enterprise features
→
|
| integratesWith |
Looker
→
Looker Studio → Tableau → other BI tools via BigQuery connectors → |
| optimizationType |
latency reduction
→
query performance optimization → |
| partOf |
BigQuery ecosystem
→
Google Cloud Platform → |
| performanceGoal |
sub-second to low-second query latency
→
|
| persistenceModel |
caches query-relevant data in memory
→
|
| primaryFunction |
accelerate interactive queries
→
in-memory query acceleration → optimize dashboard queries → |
| requires |
BigQuery project
→
|
| scope |
BigQuery SQL queries
→
|
| storesData |
in-memory columnar cache
→
|
| supports |
joins and aggregations
→
materialized views acceleration → standard SQL queries → |
| supportsProduct |
BigQuery
→
|
| targetUser |
BI developers
→
data analysts → data engineers → |
| useCase |
business intelligence
→
data exploration → interactive dashboards → |
| workloadType |
read-intensive analytical workloads
→
|
| worksWith |
BigQuery datasets
→
clustered tables → partitioned tables → |
Referenced by (1)
| Subject (surface form when different) | Predicate |
|---|---|
|
Google BigQuery
→
|
hasFeature |