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Review of Technologies for Geospatial Applications with Open Source and Cloud Computing for Water Resources

This review explores open-source technologies for geospatial applications with a focus on cloud computing in water resource management. It discusses the implementation of ESRI packages, cloud architecture, NoSQL technologies like MongoDB, and services such as Amazon Web Services and Google Cloud Platform, emphasizing hybrid cloud setups. The text highlights emerging options like Presto and Kubernetes for efficient data processing and management, including geospatial support and query engine capabilities.

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Review of Technologies for Geospatial Applications with Open Source and Cloud Computing for Water Resources

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  1. Review of technologies for developing geospatial applications with a focus on open source (FOSS4G) and their implementation of cloud computing application for water resources Blagoj Delipetrev PhD University GoceDelcev Faculty of Computer Science BELGRADE COST BIG-SKY-EARTH TD 1403 MEETING 30-31 March2015

  2. Main concepts

  3. Possible technologies ESRI Package

  4. Architecture of cloud computing application for water resources

  5. Cloud application for water resources http://79.99.60.35/prototype/

  6. Cloud application for water resources

  7. (relatively) New technologies and possibilities NoSQL technologies Too many options and varieties MongoDB http://boundlessgeo.com/2014/06/mapping-worldcup-opengeo-suite-mongodb/ Hadoop, Hive etc. Geospatial support missing Only MongoDB has some build in Geospatial support Cloud Amazon Web Services Google Cloud Platform and many others (hybrid clouds) Facebook and Google (and others) Increasingly open their projects PRESTO Distributed SQL Query Engine for Big Data Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes https://prestodb.io/ kubernetesManage a cluster of Linux containers as a single system to accelerate Dev and simplify Ops http://kubernetes.io/

  8. THANK YOU  FOR YOUR ATTENTION Blagoj Delipetrev University Goce Delcev, Faculty of Computer Science blagoj.delipetrev@ugd.edu.mk

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