大数据必备:Hadoop、MapReduce、Spark。探索Jupyter笔记本中的教程和演示——大多数都是独立且实时的,随时可点击运行。
apache-sedona 开源项目推荐(28 个)
apache-sedona 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 28 个仓库The spatial table format for spatial lakehouse
By Smart Shaped s.r.l. (https://www.smartshaped.com/)
🗺️ ckanext-gztr is a CKAN extension that lets you associate features on an interactive map for each dataset, filter by location by drawing a bounding box, view preview minimaps, a STAC API, and opt-in to Geoconnex sync.
Arquitectura en contenedores para Plataformas GIS: Dockerfiles y scripts para construir y desplegar un entorno reproducible de geoprocesamiento en Python, Apache Spark y Sedona
Dockerised PySpark Apache Sedona examples.
Implemented spatial hotspot analysis on the NYC Yellow Cab taxi trip records using spark cluster setup on the AWS EC2 Instances. The aim was to analyse huge dataset using distributed cluster-computing framework like Apache Spark and Apache Sedona.
Spatial joining with a map reduce program on top of Apache Spark using the Apache Sedona spatial extension
Exploring Global Fishing Watch public data with SedonaDB & GeoParquet
该项目在 GitHub 上没有填写描述
Bronze-Silver-Gold pipeline turning raw Airbnb listings into neighborhood market indicators across 4 US cities: Spark, Sedona geospatial joins, Airflow, Snowflake.
Global Logistics Hot-Zone Optimizer is a high-performance spatial data engineering pipeline designed to identify logistics "hot zones" using trajectory data. Pipeline analyzes massive GPS datasets to detect high-demand areas and optimize fleet distribution.
Procesamiento distribuido, calidad de datos y análisis geoespacial de 11,5 millones de viajes NYC Taxi con Apache Spark y Databricks.
该项目在 GitHub 上没有填写描述
CSE 512 : Distributed Database Systems
CSE 512 : Distributed Database Systems
Forensic geospatial pipeline that processes NOAA AIS data with Apache Spark + Sedona to detect vessels disabling transponders for illegal activities, using H3 indexing for rendezvous detection
Production patterns for spatial data on Apache Iceberg and Delta Lake — partitioning, predicate pushdown, query engines (DuckDB/Trino/Sedona), GeoParquet, and Python workflows. An engineering reference site.
Distributed geospatial data pipeline using Apache Spark and Apache Sedona to analyze NYC taxi demand hotspots from millions of trip records.
Data engineering pipeline that finds hikes reachable by VIA Rail in northern Québec, built with Prefect, PostGIS and SQL, with a data-quality gate on every run.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/apache-sedona。
- 该话题在 GitHub 上共有 28 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 167 Star,覆盖 8 种主要语言,数据更新于 2026-11-11。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。