Spatial Data Wrangling with GeoSpark: A Step by Step Tutorial

Jia Yu, Mohamed Sarwat
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引用次数: 1

Abstract

This tutorial is expected to deliver a comprehensive study and hands-on tutorial of how GeoSpark incorporates Spark to uphold massive-scale spatial data. We also want this tutorial to serve as an introductory course that teaches the audience the basic building blocks in a scalable spatial data management system and the important design concerns based on our previous experience. We begin our tutorial with a background introduction of the characteristics of spatial data and the history of distributed data management systems. A follow-up section presents common approaches used by the practitioners to extend Spark and introduces the vital components in a generic spatial data management system. The third section gives a hands-on live demonstration to illustrate the basic steps of performing geospatial data analytics using GeoSpark.
空间数据争吵与GeoSpark:一步一步的教程
本教程预计将提供全面的研究和实践教程,介绍GeoSpark如何结合Spark来维护大规模空间数据。我们还希望本教程作为入门课程,向读者介绍可扩展空间数据管理系统的基本构建模块以及基于我们以前经验的重要设计问题。我们首先介绍空间数据的特点和分布式数据管理系统的历史背景。后续部分介绍了从业者用于扩展Spark的常用方法,并介绍了通用空间数据管理系统中的重要组件。第三部分给出了一个实际的现场演示,说明了使用GeoSpark执行地理空间数据分析的基本步骤。
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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