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Files converted: - common/ch_getstart.xml - common/section_getstart_compute.xml - common/section_storage-concepts.xml - common/section_getstart_object-storage.xml - common/section_getstart_block-storage.xml - common/section_getstart_networking.xml - common/section_getstart_dashboard.xml - common/section_keystone-concepts.xml - common/section_getstart_image.xml - common/section_getstart_telemetry.xml - common/section_getstart_orchestration.xml - common/section_getstart_trove.xml - common/section_getstart_sahara.xml - common/section_getstart_conceptual_arch.xml - common/section_getstart_logical_arch.xml Change-Id: I41318a887af6855f3a25e6adedbbd9e75f431332 Implements: blueprint reorganise-user-guides
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Data processing service
The Data processing service for OpenStack (sahara) aims to provide users with a simple means to provision data processing (Hadoop, Spark) clusters by specifying several parameters like Hadoop version, cluster topology, node hardware details and a few more. After a user fills in all the parameters, the Data processing service deploys the cluster in a few minutes. Sahara also provides a means to scale already provisioned clusters by adding/removing worker nodes on demand.
The solution addresses the following use cases:
- Fast provisioning of Hadoop clusters on OpenStack for development and QA.
- Utilization of unused compute power from general purpose OpenStack IaaS cloud.
- Analytics-as-a-Service for ad-hoc or bursty analytic workloads.
Key features are:
- Designed as an OpenStack component.
- Managed through REST API with UI available as part of OpenStack dashboard.
- Support for different Hadoop distributions:
- Pluggable system of Hadoop installation engines.
- Integration with vendor specific management tools, such as Apache Ambari or Cloudera Management Console.
- Predefined templates of Hadoop configurations with the ability to modify parameters.
- User-friendly UI for ad-hoc analytics queries based on Hive or Pig.