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Hortonworks offers a big data processing platform that includes the ability to process various types of data including SQL and NoSQL sources then search across data, or use various analytics tools to visualize the data.
The proposed solution utilises the Hadoop distributed data processing platform, extended ecosystem and parallelised clustering techniques using the Mahout library.
Alibaba, for instance, has built an open data processing platform, Tianchi, to provide big data generated based on real-world scenarios.
While still at Yahoo! Hoang helped oversee the development of Hadoop 1.0 and 2.0 and he saw the potential of Hadoop as a big data processing platform.
They packaged it for IT departments that wanted the advantage of a big data processing platform, but didn't necessarily want to build Hadoop from scratch.
This paper provides the scientific community with a comprehensive overview of the applications of a data processing platform designed to harness the potential of big data in the field of road transport policies in Europe.
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Modern manufacturing is becoming more powerful and flexible due to the decreasing cost of smart sensors and data processing platforms.
Therefore, data processing platforms are a key component of the ICT infrastructure of smart sustainable cities of the future with respect to big data applications.
This paper surveys various data processing platforms that are currently available and discusses the advantages and drawbacks for each of them.
There is a variety of available data processing platforms for big data analytics, which provide the stream processing required by real-time big data applications in relation to various urban domains.
The rationale is that such applications entail that the data from distributed sources should be aggregated and fused prior to being transferred in real-time to cloud computing infrastructures or data processing platforms for stream processing and decision-making.
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