迈向10亿条推文的交互式分析和可视化

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2016-10-31 DOI:10.1145/2996913.2996923

Jianfeng Jia, Chen Li, Xi Zhang, Chen Li, M. Carey, Simon Su

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引用次数: 22

摘要

我们提出了一个名为“Cloudberry”的系统，它允许用户交互式地查询、分析和可视化大量的时间、空间和文本维度的数据。作为一个通用的全栈解决方案，它有一个友好的UI，智能的中间件，以及一个运行Apache AsterixDB的强大的大数据管理后端，以实现大数据分析和可视化。我们将在计算机集群上使用Twitter数据演示该系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Towards interactive analytics and visualization on one billion tweets

We present a system called "Cloudberry" that allows users to interactively query, analyze, and visualize large amounts of data with temporal, spatial, and textual dimensions. As a general-purpose full-stack solution, it has a friendly UI, intelligent middleware, and a powerful big data management backend running Apache AsterixDB to enable big data analytics and visualization. We will demonstrate the system using Twitter data on a computer cluster.

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Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

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