Borja Muñoz
Borja Muñoz is a product manager for developer tools at CARTO. He has been developing geospatial applications using open source software for more than 15 years. He loves anything related to geospatial stuff, specially data visualization.
Sessions
deck.gl is one of the most advanced open-source libraries for data visualization. In this session we will discuss how its WebGL-powered engine can be used to perform visual exploratory data analysis of large datasets. This library is quickly becoming one of the most used in the FOSS4G world due to its open governance model and compatibility with other mapping libraries like MapLibre GL JS.
We will learn how a deck.gl visualization is structured and what the main concepts are: views, layers and accessors. We will discuss its reactive architecture and how it can be used to build simple scripting prototypes and complex applications with modern JavaScript frameworks like React, Angular or Vue.js.
We will present different examples ranging from simple layer visualizations to thematic and choropleth maps to advanced interactive 3D visualizations including animations.
Finally we will focus on specific use cases for large data visualization, from datasets with hundreds of thousands of features with data formats like GeoJSON to datasets with billions of features using advanced tiling schemes.
In this talk, we'll review the major milestones that have defined Spatial SQL as the powerful tool for geospatial analytics that it is today.
From the early foundations of the JTS Topology Suite and GEOS and its application on the PostGIS extension for PostgreSQL, to the latest implementation in Spark SQL using libraries such as the CARTO Analytics Toolbox for Databricks, Spatial SQL has been a key component of many geospatial analytics products and solutions, leveraging the computing power of different databases with SQL as lingua franca, allowing easy adoption by data scientists, analysts and engineers.
The CARTO Analytics Toolbox is a comprehensive library that provides advanced geospatial functionality through Spark SQL. It enables Spatial SQL analytics at scale providing the foundational tools for analyzing and visualizing geospatial data.
In this talk we'll cover the technical aspects of the library implementation using Open Source technologies, as well as demonstrating the installation and practical usage with a real-life example.
Our talk will go through some of the geospatial operations that can be performed directly in Spark and we will demonstrate how users of the Analytics Toolbox can create beautiful map visualizations leveraging the latest Open Source rendering tools; and how to address a wide variety of spatial use cases using other products built on top of open source technologies, like CARTO and Databricks.