Statements (68)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:Cloudera
|
| gptkbp:constructed_in |
Open-source technologies
|
| gptkbp:developed_by |
gptkb:Cloudera
|
| gptkbp:enables |
Real-time data processing
Data collaboration Data discovery Data pipeline creation |
| gptkbp:facilitates |
Data integration
Data transformation |
| gptkbp:focuses_on |
Data-driven decision making
Data quality Data efficiency |
| https://www.w3.org/2000/01/rdf-schema#label |
Cloudera Data Engineering
|
| gptkbp:includes |
Data visualization tools
Data orchestration capabilities |
| gptkbp:integrates_with |
gptkb:park
|
| gptkbp:is_available_on |
On-premises
Private cloud Public cloud |
| gptkbp:is_compatible_with |
Cloud environments
Data lakes Third-party tools |
| gptkbp:is_designed_for |
Enterprise data solutions
Data-centric organizations |
| gptkbp:is_designed_to |
Simplify data workflows
|
| gptkbp:is_integrated_with |
gptkb:Cloudera_Machine_Learning
Business intelligence tools Data storage solutions |
| gptkbp:is_optimized_for |
Scalability
|
| gptkbp:is_part_of |
gptkb:Cloudera_Data_Platform
Data management strategy Data architecture. Big data ecosystem Data Ops |
| gptkbp:is_used_by |
Data engineers
|
| gptkbp:is_used_for |
Data analytics
ETL processes Data preparation Data reporting Data storage solutions |
| gptkbp:is_used_in |
Big data analytics
|
| gptkbp:is_utilized_in |
Data analysts
Data extraction |
| gptkbp:offers |
Data lineage tracking
Customizable solutions Data processing capabilities Data ingestion tools |
| gptkbp:provides |
Collaboration tools
Data governance User-friendly interfaces Monitoring capabilities Automated workflows Data management solutions Data security features Data access controls Data quality tools |
| gptkbp:supports |
gptkb:park
Data analysis Data migration Batch processing Data warehousing Data lakes Data sharing Data analytics platforms Data science workflows |
| gptkbp:utilizes |
Machine learning
|