41 lines
1.3 KiB
ReStructuredText
41 lines
1.3 KiB
ReStructuredText
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Data Processing service overview
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The Data processing service for OpenStack (sahara) aims to provide users
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with a simple means to provision data processing (Hadoop, Spark)
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clusters by specifying several parameters like Hadoop version, cluster
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topology, node hardware details and a few more. After a user fills in
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all the parameters, the Data processing service deploys the cluster in a
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few minutes. Sahara also provides a means to scale already provisioned
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clusters by adding or removing worker nodes on demand.
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The solution addresses the following use cases:
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* Fast provisioning of Hadoop clusters on OpenStack for development and
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QA.
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* Utilization of unused compute power from general purpose OpenStack
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IaaS cloud.
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* Analytics-as-a-Service for ad-hoc or bursty analytic workloads.
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Key features are:
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* Designed as an OpenStack component.
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* Managed through REST API with UI available as part of OpenStack
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Dashboard.
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* Support for different Hadoop distributions:
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* Pluggable system of Hadoop installation engines.
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* Integration with vendor specific management tools, such as Apache
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Ambari or Cloudera Management Console.
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* Predefined templates of Hadoop configurations with the ability to
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modify parameters.
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* User-friendly UI for ad-hoc analytics queries based on Hive or Pig.
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