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arXiv · 1701.04182

hMDAP: A Hybrid Framework for Multi-paradigm Data Analytical Processing on Spark

Xiaowang Zhang·Jiahui Zhang·Zhiyong Feng
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Abstract

We propose hMDAP, a hybrid framework for large-scale data analytical processing on Spark, to support multi-paradigm process (incl. OLAP, machine learning, and graph analysis etc.) in distributed environments. The framework features a three-layer data process module and a business process module which controls the former. We will demonstrate the strength of hMDAP by using traffic scenarios in a real world.

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Xiaowang Zhang, Jiahui Zhang, Zhiyong Feng. 2017-01-16. hMDAP: A Hybrid Framework for Multi-paradigm Data Analytical Processing on Spark. https://arxiv.org/abs/1701.04182

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