Statements (109)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:cloud_storage
gptkb:geographical_feature |
| gptkbp:access |
data formats like CSV
data formats like ORC data formats like Parquet data in multiple formats |
| gptkbp:allows |
querying data in S3
|
| gptkbp:can_be_combined_with |
gptkb:AI_technology
data visualization tools data warehousing best practices Redshift data warehouse |
| gptkbp:can_be_found_in |
data across regions
|
| gptkbp:can_be_used_for |
ETL processes
data migration projects |
| gptkbp:can_be_used_in |
cloud-native applications
data lakehouse architecture |
| gptkbp:can_be_used_to |
streamline data workflows
analyze log data perform complex queries join data from S3 and Redshift optimize data storage costs |
| gptkbp:can_be_used_with |
gptkb:Amazon_Athena
|
| gptkbp:can_handle |
semi-structured data
structured and semi-structured data high concurrency workloads |
| gptkbp:enables |
real-time analytics
data lake analytics data lake architecture |
| gptkbp:enhances |
query performance
|
| https://www.w3.org/2000/01/rdf-schema#label |
Redshift Spectrum
|
| gptkbp:integrates_with |
gptkb:Amazon_Redshift
gptkb:AWS_Glue |
| gptkbp:is_accessible_by |
gptkb:AWS_Management_Console
API calls JDBC/ ODBC drivers |
| gptkbp:is_available_in |
multiple AWS regions
|
| gptkbp:is_beneficial_for |
data analysts
data scientists data-driven decision making data engineers data integration tasks |
| gptkbp:is_compatible_with |
gptkb:AWS_Glue
gptkb:AWS_IAM |
| gptkbp:is_designed_for |
big data analytics
data warehousing |
| gptkbp:is_designed_to |
reduce latency
simplify data access enhance data accessibility support diverse workloads reduce data movement facilitate data sharing. support data democratization support diverse data sources |
| gptkbp:is_effective_against |
reporting purposes
|
| gptkbp:is_enhanced_by |
gptkb:AWS_Lake_Formation
|
| gptkbp:is_integrated_with |
gptkb:AI_technology
business intelligence tools data catalog services |
| gptkbp:is_managed_by |
gptkb:AWS
|
| gptkbp:is_monitored_by |
gptkb:AWS_Cloud_Watch
|
| gptkbp:is_optimized_for |
large datasets
columnar storage querying large volumes of data |
| gptkbp:is_part_of |
gptkb:Amazon_Redshift
AWS ecosystem AWS analytics services AWS data lake solutions AWS data analytics strategy cloud data warehousing solutions |
| gptkbp:is_used_for |
business intelligence
ad-hoc querying big data analytics |
| gptkbp:is_used_in |
data science applications
data analytics workflows |
| gptkbp:is_used_to |
analyze large volumes of data
|
| gptkbp:is_utilized_for |
data visualization
data archiving data quality assessments data integration workflows |
| gptkbp:offers |
cost-effective querying
|
| gptkbp:payment_methods |
data scanned
|
| gptkbp:provides |
data security features
scalable query performance flexibility in data storage seamless integration with BI tools |
| gptkbp:reduces |
data movement
|
| gptkbp:requires |
gptkb:Amazon_Redshift_cluster
|
| gptkbp:scales |
compute resources
query capacity |
| gptkbp:security |
AWS IAM policies
|
| gptkbp:signed_by |
Redshift tables with S3 data
|
| gptkbp:suitable_for |
real-time analytics
data exploration multi-tenant architectures ad-hoc queries cross-platform data analysis |
| gptkbp:supports |
gptkb:JSON_format
SQL queries data cataloging data governance user-defined functions data compression data partitioning Parquet format external tables ORC format |
| gptkbp:uses |
external tables
|
| gptkbp:bfsParent |
gptkb:AWS_Gov_Cloud
|
| gptkbp:bfsLayer |
6
|