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28 posts on Apache Sedona.
Introducing GeoStats for Wherobots and Apache Sedona
We are excited to introduce GeoStats, a machine learning (ML) and statistical toolbox for Wherobots and Apache Sedona users. With GeoStats, you can easily identify critical patterns in geospatial datasets such as hotspots and anomalies, and quickly get critical insights from large scale data. While these algorithms are supported in other packages, we’ve optimized each algorithm to be highly performant for small to planetary scale geospatial workloads. That means, you can get results from these algorithms significantly faster, at a lower cost, and do it all more productively, through a unified development experience purpose-built for geospatial data science and ETL.
What is Apache Sedona?
Apache Sedona is a cluster computing system for processing large-scale spatial data. It treats spatial data as a first class citizen by extending the functionality of distributed compute frameworks like Apache Spark, Apache Flink, and Snowflake. Apache Sedona was created at Arizona State University under the name Geospark, in the paper “Spatial Data Management in Apache Spark: The GeoSpark Perspective and Beyond.
New Wherobots Cloud Features, How Overture Maps Uses Apache Sedona, Aircraft Data, & Spatial Lakehouses
Welcome to This Month In Wherobots the monthly developer newsletter for the Wherobots & Apache Sedona community! In this edition we have a look at the latest Wherobots Cloud release, how the Overture Maps Foundation uses Apache Sedona to generate their data releases, processing a billion aircraft observations, building spatial data lakehouses with Iceberg Havasu, […]
Processing A Billion Aircraft Observations And Combining With Weather Data Using Apache Sedona On Wherobots Cloud
In this post we take a look at combining aircraft flight data with weather data to identify potentially impacted flights using public ADS-B data and weather data from NOAA. Along the way we introduce the types of spatial queries available with WherobotsDB including spatial range queries, spatial kNN, and spatial joins using Spatial SQL, geospatial […]
Making Overture Maps Data More Efficient With GeoParquet And Apache Sedona
The latest release of Overture Maps data is now published in GeoParquet format, allowing for more efficient spatial operations when selecting subsets of the dataset and enabling interoperability with a growing ecosystem of data tooling that supports the cloud-native GeoParquet format. In this post we explore some of the motivations and advantages of publishing the […]
Raster Data Analysis, Processing Petabytes of Agronomic Data, Overview of Sedona 1.5, and Unlocking The Spatial Frontier – This Month In Wherobots
Welcome to This Month In Wherobots, the monthly newsletter for data practitioners in the Apache Sedona and Wherobots community. This month we’re exploring raster data analysis with Spatial SQL, processing petabytes of agronomic data with Apache Sedona, a deep dive on new features added in the 1.5 release series, and an overview of working with […]
Raster Data Analysis With Spatial SQL And Apache Sedona
Learn how to work with raster data in Sedona using Spatial SQL and some of the use cases for raster data analysis including vector / raster join operations, zonal statistics, and raster map algebra.
Introducing Sedona 1.5: Making Sedona the most comprehensive & scalable spatial data processing and ETL engine for both Raster and Vector data
Introducing Sedona 1.5: Making Sedona the most comprehensive & scalable spatial data processing and ETL engine for both Raster and Vector data We’re excited to introduce Apache Sedona‘s 1.5 series, a leap forward in geospatial processing that brings essential features and enhancements. Since our last blog post on the Sedona 1.4 series, Apache Sedona has […]
SedonaSnow: Apache Sedona On Snowflake, Accelerating Your GIS Pipeline, Exploring Global Fishing Watch Data With GeoParquet, and Apache Sedona 1.5.1 Release
Explore SedonaSnow—Apache Sedona on Snowflake—for faster GIS pipelines, GeoParquet-powered analytics, and highlights from the Sedona 1.5.1 release.
Exploring Global Fishing Watch Public Data With Apache Sedona, Wherobots Cloud & GeoParquet
This post is a hands-on look at offshore ocean infrastructure and industrial vessel activity with Apache Sedona in Wherobots Cloud using data from Global Fishing Watch. We also see how GeoParquet can be used with this data to improve the efficiency of data retrieval and enable large-scale geospatial visualization. Global Fishing Watch Overview Earlier this […]
Analyzing Real Estate Data With Apache Sedona
In a recent tutorial on the Wherobots YouTube channel we explored how to analyze real estate data using Apache Sedona and Wherobots Cloud using data from Zillow. Specifically, we calculated the change in median home value over the last 5 years per county using Zillow’s Zillow Home Value Index (ZHVI) and visualized the results. This […]
Analyzing The Overture Maps Places Dataset Using Apache Sedona, Wherobots Cloud, & GeoParquet
Explore how to analyze the Overture Maps Places dataset using Apache Sedona, Wherobots Cloud, and GeoParquet. Learn how GeoParquet enhances geospatial analytics and unlocks insights into urban dynamics with real-world use cases.