Statements (118)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Database_Management_System
|
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:Google_Cloud_Marketplace
gptkb:Database_Management_System gptkb:weapon gptkb:Fire_Department gptkb:Google_Cloud gptkb:Cloud_Computing_Service gptkb:Research_Institute |
| gptkbp:analyzes |
large datasets
|
| gptkbp:connects |
gptkb:Looker
gptkb:Company gptkb:Data_Studio |
| gptkbp:controls |
multi-terabyte datasets
|
| gptkbp:developed_by |
gptkb:Job_Search_Engine
gptkb:Google_Cloud |
| gptkbp:has |
data retention policies
client libraries RESTAPI query optimization features legacy SQL dialect standard SQL dialect pricing model based on usage |
| https://www.w3.org/2000/01/rdf-schema#label |
Big Query
|
| gptkbp:integrates_with |
gptkb:Database_Management_System
gptkb:weapon gptkb:Cloud_Functions gptkb:Cloud_Pub/_Sub gptkb:Looker gptkb:Company gptkb:Fire_Department gptkb:Google_Ads gptkb:Google_Analytics gptkb:Apache_Airflow gptkb:Cloud_Computing_Service third-party tools |
| gptkbp:is_accessible_by |
programmatic access
web interface command line interface |
| gptkbp:is_available_in |
multiple regions
multiple zones |
| gptkbp:is_compatible_with |
gptkb:weapon
gptkb:Apache_Airflow gptkb:Graphics_Processing_Unit gptkb:Spark |
| gptkbp:is_known_for |
high availability
automatic scaling fast query performance |
| gptkbp:is_part_of |
Google Cloud services
Google Cloud's Big Data solutions |
| gptkbp:is_used_by |
data analysts
data scientists business intelligence professionals |
| gptkbp:is_used_for |
ETL processes
data migration reporting data warehousing data exploration business analytics |
| gptkbp:offers |
data analysis tools
data encryption serverless architecture machine learning models query history scheduled queries data sharing features cost control features query pricing model streaming inserts |
| gptkbp:provides |
gptkb:railway_line
API access audit logging data cataloging data lineage tracking data visualization tools performance monitoring automatic scaling query optimization machine learning capabilities scalable storage user access controls data import/export capabilities real-time dashboards machine learning capabilities through Big Query ML |
| gptkbp:released |
gptkb:2010
|
| gptkbp:released_in |
gptkb:2010
|
| gptkbp:supports |
gptkb:software_framework
large datasets data governance data integration data lineage tracking data sharing data transformation data visualization geospatial analysis metadata management multi-cloud environments real-time analytics user-defined functions data replication data retention policies streaming data ingestion data lakes data import data export data archiving data warehousing best practices collaborative data analysis clustering data security compliance data visualization integration partitioned tables nested and repeated fields data lake architecture |
| gptkbp:uses |
gptkb:SQL
SQL-like syntax columnar storage columnar storage format |