Databricks Lakehouse Platform
GPTKB entity
Statements (58)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Database_Management_System
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:Databricks
|
| gptkbp:can_be_used_with |
data lakes
data warehouses |
| gptkbp:constructed_in |
open-source technologies
|
| gptkbp:developed_by |
gptkb:Databricks
|
| gptkbp:enables |
business intelligence
data-driven decision making data science data engineering data collaboration |
| gptkbp:facilitates |
data sharing
|
| gptkbp:focuses_on |
data analytics
data science data management |
| https://www.w3.org/2000/01/rdf-schema#label |
Databricks Lakehouse Platform
|
| gptkbp:integrates_with |
gptkb:AWS
gptkb:Cloud_Computing_Service gptkb:Azure |
| gptkbp:is_adopted_by |
Fortune 500 companies
|
| gptkbp:is_available_on |
subscription basis
|
| gptkbp:is_compatible_with |
third-party tools
|
| gptkbp:is_designed_for |
enterprise data solutions
|
| gptkbp:is_known_for |
flexibility
high performance ease of use |
| gptkbp:is_optimized_for |
cloud environments
|
| gptkbp:is_part_of |
Databricks ecosystem
|
| gptkbp:is_scalable |
gptkb:battle
|
| gptkbp:is_used_by |
data analysts
data scientists data engineers |
| gptkbp:is_used_in |
various industries
|
| gptkbp:offers |
gptkb:software_framework
gptkb:Delta_Lake real-time data processing interactive dashboards M Lflow |
| gptkbp:provides |
gptkb:railway_line
API access data governance data visualization tools job scheduling data lineage collaborative notebooks |
| gptkbp:security_features |
gptkb:battle
|
| gptkbp:supports |
gptkb:R
gptkb:software_framework gptkb:Library gptkb:Skrull data integration big data analytics data warehousing streaming data data pipelines SQL analytics |
| gptkbp:uses |
gptkb:park
|