Building Performant GEOINT Dashboards with OmniSci Immerse & Jupyter Notebooks
Today’s geospatial professionals are increasingly called upon to deliver content in the form of interactive web apps. This can be challenging with traditional architectures, both because of the inflexibility of conventional template-based approaches, and due to major performance issues when delivering large geo-temporal data across the web. OmniSci is a GPU database with built-in high-performance geographic rendering (capable of handling literally billions of features). OmniSci’s Immerse web application allows end-users to build or customize a wide range of dashboards themselves. This is very straightforward for data visualization based on adding and symbolizing map layers. However, apps requiring spatial analysis usually benefit from additional advance work by geospatial professionals to ensure solid ETL pipelines and performance at scale. This workshop will present some typical GEOINT applications delivered as interactive dashboards and will drill down into the construction of one of them in detail. Attendees will learn all three levels of a modern web stack. We will start by reviewing the capabilities of OmniSci Immerse. Next, we will dig into the capabilities of OmniSQL, which uses post-GIS-like syntax to expose powerful geoprocessing tools. Lastly, we will walk through Jupyter Notebook integration, and show how Python and the pymapd library can be used to construct powerful workflows.
Session ID: LT1415 Presentation Type: Live Session (Replay Available)
Date / Time: [Day 2] Tue. Sep. 15, 2020 @ 14:00 ET (US)
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