Statements (54)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
software framework
|
| gptkbp:aimsTo |
performance of MapReduce
|
| gptkbp:designedFor |
big data processing
|
| gptkbp:developedBy |
gptkb:Apache_Software_Foundation
|
| gptkbp:enables |
data flow processing
|
| gptkbp:firstPublished |
2014
|
| gptkbp:hasAmenities |
tutorials
API reference installation guide user guide developer guide |
| gptkbp:hasFeature |
resource management
data locality support for batch processing dynamic optimization support for data lineage support for various data formats support for complex workflows support for custom user-defined functions support for iterative processing support for monitoring and debugging support for streaming data fault_tolerance |
| gptkbp:hasOccupation |
active user community
contributor community |
| gptkbp:hasPerformance |
scalability
lower latency better resource utilization higher throughput |
| https://www.w3.org/2000/01/rdf-schema#label |
Apache Tez
|
| gptkbp:integratesWith |
gptkb:Apache_Pig
gptkb:Apache_Hive gptkb:Apache_Hadoop |
| gptkbp:isCompatibleWith |
gptkb:Hadoop_ecosystem
|
| gptkbp:isOptimizedFor |
interactive queries
|
| gptkbp:isPartOf |
Apache_Software_Foundation_projects
|
| gptkbp:isSimilarTo |
gptkb:Apache_Beam
gptkb:Apache_Flink gptkb:Apache_Spark |
| gptkbp:isSupportedBy |
various cloud platforms
on-premises deployments |
| gptkbp:isUsedBy |
data scientists
data engineers |
| gptkbp:isUsedIn |
machine learning
data analytics real-time data processing ETL_processes |
| gptkbp:provides |
pluggable architecture
a_DAG_execution_engine |
| gptkbp:publishedIn |
gptkb:Java
|
| gptkbp:releaseDate |
Apache License 2.0
|
| gptkbp:supports |
multi-stage data processing
complex data processing tasks |
| gptkbp:uses |
YARN
|