Statements (64)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:software
|
gptkbp:bfsLayer |
3
|
gptkbp:bfsParent |
gptkb:seal
|
gptkbp:allows |
data visualization
|
gptkbp:can_be |
data preparation jobs
|
gptkbp:connects |
various data sources
|
gptkbp:constructed_in |
serverless architecture
|
gptkbp:controls |
unstructured data
structured data semi-structured data |
gptkbp:developed_by |
gptkb:server
|
gptkbp:enables |
data preparation at scale
|
gptkbp:exported_to |
transformed data
|
https://www.w3.org/2000/01/rdf-schema#label |
Glue Data Brew
|
gptkbp:integrates_with |
gptkb:Amazon_Redshift
gptkb:Amazon_S3 gptkb:Amazon_Athena gptkb:seal third-party tools |
gptkbp:intelligence |
data preparation tasks
|
gptkbp:is_accessible_by |
gptkb:AWS_Management_Console
AWSCLI AWSSD Ks |
gptkbp:is_aimed_at |
improving data quality
|
gptkbp:is_available_in |
multiple AWS regions
|
gptkbp:is_compatible_with |
data privacy regulations
|
gptkbp:is_designed_for |
data democratization
data wrangling |
gptkbp:is_designed_to |
reduce data preparation time
|
gptkbp:is_part_of |
AWS analytics services
AWS data lake solutions AWS Glue ecosystem |
gptkbp:is_scalable |
to handle large datasets
|
gptkbp:is_used_for |
ETL processes
data integration |
gptkbp:is_used_in |
business intelligence
data analytics data science projects |
gptkbp:offers |
data lineage tracking
data enrichment capabilities no-code interface custom transformation functions |
gptkbp:primary_function |
data transformation
data cleaning |
gptkbp:provides |
user-friendly interface
collaborative features data profiling data quality checks real-time data processing capabilities data transformation recipes pre-built transformations |
gptkbp:release_date |
gptkb:2021
|
gptkbp:suitable_for |
big data projects
|
gptkbp:supports |
gptkb:software_framework
CSV files JSON files data governance practices Parquet files Avro files visual data preparation |
gptkbp:targets |
business analysts
data analysts data scientists |
gptkbp:uses |
AWS infrastructure
|