Oracle Data Flow
E486192
Oracle Data Flow is a fully managed, serverless Apache Spark service on Oracle Cloud Infrastructure for running large-scale data processing and analytics workloads without managing infrastructure.
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
cloud data processing service
ⓘ
managed Apache Spark service ⓘ serverless Spark service ⓘ |
| billingModel |
consumption-based pricing
ⓘ
pay-per-use ⓘ |
| designedFor |
big data workloads
ⓘ
enterprise analytics ⓘ |
| developer | Oracle Corporation NERFINISHED ⓘ |
| eliminatesNeedFor |
Spark cluster tuning
ⓘ
cluster management ⓘ infrastructure provisioning ⓘ |
| feature |
CLI access
ⓘ
REST API access ⓘ Spark application logging ⓘ Spark application metrics ⓘ automatic resource provisioning ⓘ automatic scaling ⓘ console-based management ⓘ integration with Oracle Autonomous Database ⓘ integration with Oracle Cloud Storage ⓘ integration with Oracle Data Catalog ⓘ integration with Oracle Object Storage ⓘ job monitoring ⓘ job scheduling ⓘ notebook-based development support ⓘ |
| partOf | Oracle Cloud Infrastructure data and analytics services portfolio ⓘ |
| primaryUse |
ETL workloads
ⓘ
batch data processing ⓘ data analytics workloads ⓘ data preparation ⓘ data transformation ⓘ large-scale data processing ⓘ |
| runsOn | Oracle Cloud Infrastructure NERFINISHED ⓘ |
| securityFeature |
data encryption at rest
ⓘ
data encryption in transit ⓘ integration with Oracle Identity and Access Management ⓘ network isolation via Oracle VCN ⓘ |
| serviceModel |
fully managed
ⓘ
serverless ⓘ |
| supportsFramework | Apache Spark NERFINISHED ⓘ |
| supportsLanguage |
Java
ⓘ
Python ⓘ Scala NERFINISHED ⓘ |
| supportsWorkloadType |
Spark batch jobs
ⓘ
Spark streaming jobs ⓘ |
| targetUser |
analytics developers
ⓘ
data engineers ⓘ data scientists ⓘ |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Oracle Cloud Infrastructure