|Uniting Data Platform is a 100% open source Hadoop distribution based on the Apache Bigtop. We deliver on a promise of fast, green Big Data analytics leveraging the potential of the multicore clusters and providing tight integration with HPC solutions.|
Fast, green Big data analytics
is a new way for enterprises to store and analyze data.
Two key services: reliable data storage using the Hadoop Distributed File System (HDFS) and high-performance parallel data processing using a technique called MapReduce. Hadoop runs on a collection of commodity, shared-nothing servers. You can add or remove servers in a Hadoop cluster at will; the system detects and compensates for hardware or system problems on any server. Hadoop, in other words, is self-healing. It can deliver data — and can run large-scale, high-performance processing jobs — in spite of system changes or failures | MORE
is a project developing packaging and tests for the Apache Hadoop ecosystem.
The primary goal of Bigtop is to build a community around the packaging and interoperability testing of Hadoop-related projects. This includes testing at various levels (packaging, platform, runtime, upgrade, etc...) developed by a community with a focus on the system as a whole, rather than individual projects. | MORE
|Powered by Bigtop. We offer our enterprise customers a family of services including technical training, architectural services and technical support.|
|O'Reilly Strata Conference, Making Data Work|
|Yandex, Yet another Conference 2012|
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