Glue Data Brew

GPTKB entity

Statements (64)
Predicate Object
gptkbp:instance_of gptkb:Data
gptkbp:allows data visualization
gptkbp:automated data preparation tasks
gptkbp:built serverless architecture
gptkbp:can data preparation jobs
gptkbp:can_be_used_for ETL processes
gptkbp:can_handle unstructured data
structured data
semi-structured data
gptkbp:connects various data sources
gptkbp:developed_by gptkb:Amazon_Web_Services
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:AWS_Glue
gptkb:Amazon_S3
gptkb:Amazon_Athena
third-party tools
gptkbp:is_accessible_by gptkb:AWS_SDKs
gptkb:AWS_Management_Console
gptkb:AWS_CLI
gptkbp:is_aimed_at improving data quality
gptkbp:is_available_in multiple AWS regions
gptkbp:is_compliant_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 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:machine_learning
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
gptkbp:bfsParent gptkb:AWS_Glue
gptkbp:bfsLayer 5