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Anyone who is serious about big data, scale out applications and cloud infrastructure should want to intimately understand the benefits of scale out architecture and the resource elasticity of cloud services. As we continue our evolution into a deeper understanding of data, we see a need agile access to an elastic big data platform. Such a platform can allow us to capture, synthesize and quantify data into business value.
Enter OpenStack Sahara - the intersection of Hadoop and OpenStack.
As an OpenStack project started by Red Hat, Mirantis and Hortonworks during the OpenStack Havana summit in Portland, Sahara was incubated for the OpenStack Icehouse release and is expected to be integrated for OpenStack Juno by the end of 2014.
Sahara’s mission is to provide a scalable data processing stack and associated management interfaces. Sahara delivers on that mission by providing the ability to rapidly create and manage Apache Hadoop™ clusters and easily run workloads across them. All on OpenStack managed infrastructure, without having to deal with the details of cluster management.
With full cluster lifecycle management, provisioning, scaling and termination, Sahara allows the user to select different Hadoop versions, cluster topology and node hardware details.
Sahara key features and use cases:
- Fast and agile Hadoop cluster deployment
- An extensible framework for management and provisioning components
- Run Hadoop workloads in few clicks without expertise in Hadoop operations
- “Analytics as a Service” utilization of unused compute capacity for ad-hoc or bursty analytic workloads
- Sahara supports different types of jobs: MapReduce, Hive, Pig and Oozie workflows. The data could be taken from various sources: Swift, HDFS, NoSQL and SQL databases. It also supports various provisioning plugins.
- The intersection of two of the largest open source movements
- OpenStack provides the foundation and hub of innovation for cleanly managing infrastructure resources. While Apache Hadoop™ serves as the core and innovation driver for storing and processing data.
Bringing these two technologies together not only strengthens and catalyzes their ecosystems, but offers an increasing wealth of value to their users.
The OpenStack Sahara project aims to facilitate this combination and enable customers and partners alike to take advantage of a growing big data processing platform on OpenStack.
Our vision is to bring Big Data and OpenStack together, with a broad ecosystem of partner interoperability, reliability & choice.
Over the next few months, we’ll bring you examples of how to use Sahara in RDO and RHEL OSP, how to get involved as a customer or partner, and tell you about the value provided by merging the infrastructure and data processing universes. Look for post by Keith Basil and Matthew Farrelle.
To learn more and get involved with the Sahara project, please visit the Sahara OpenStack Wiki at: https://wiki.openstack.org/wiki/Sahara