Databricks Lakehouse Data Engineering
GPTKB entity
Statements (55)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Databricks_product
|
| gptkbp:built |
gptkb:Databricks_Lakehouse_Platform
|
| gptkbp:category |
big data
cloud computing data analytics data engineering platform |
| gptkbp:compatibleWith |
gptkb:Google_Cloud_Platform
gptkb:AWS gptkb:Azure |
| gptkbp:enables |
batch processing
data governance streaming data processing scalable data processing data quality enforcement |
| gptkbp:focusesOn |
data engineering
|
| https://www.w3.org/2000/01/rdf-schema#label |
Databricks Lakehouse Data Engineering
|
| gptkbp:integratesWith |
gptkb:Apache_Spark
gptkb:Delta_Lake gptkb:MLflow |
| gptkbp:offeredBy |
gptkb:Databricks
|
| gptkbp:provides |
gptkb:dataset
version control collaboration tools data security disaster recovery access control data encryption integration with cloud storage scalability monitoring tools alerting data lineage job scheduling high availability audit logging notebook interface workflow management |
| gptkbp:supports |
gptkb:transformation
ETL data ingestion data pipelines |
| gptkbp:supportsLanguage |
gptkb:Java
gptkb:Python gptkb:Scala R SQL |
| gptkbp:usedFor |
gptkb:transformation
data integration data loading data monitoring data preparation data orchestration building data pipelines |
| gptkbp:bfsParent |
gptkb:Databricks_Runtime_14.x
|
| gptkbp:bfsLayer |
7
|