{"id":18078082,"url":"https://github.com/devlucho/spark-procesamiento-en-batch","last_synced_at":"2026-04-20T03:37:56.046Z","repository":{"id":260176105,"uuid":"880527865","full_name":"DevLucho/Spark-Procesamiento-en-batch","owner":"DevLucho","description":"Este proyecto utiliza PySpark para analizar datos de estudiantes a partir de un archivo CSV almacenado en HDFS.","archived":false,"fork":false,"pushed_at":"2024-10-29T22:36:54.000Z","size":96,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-11T20:50:24.456Z","etag":null,"topics":["apache-spark","hadoop-hdfs","pyspark","python3"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/DevLucho.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-10-29T22:15:21.000Z","updated_at":"2024-10-29T22:56:15.000Z","dependencies_parsed_at":null,"dependency_job_id":"b24df1cc-988d-4754-a345-1f2fa74c51b0","html_url":"https://github.com/DevLucho/Spark-Procesamiento-en-batch","commit_stats":null,"previous_names":["devlucho/spark-procesamiento-en-batch"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DevLucho%2FSpark-Procesamiento-en-batch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DevLucho%2FSpark-Procesamiento-en-batch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DevLucho%2FSpark-Procesamiento-en-batch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DevLucho%2FSpark-Procesamiento-en-batch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DevLucho","download_url":"https://codeload.github.com/DevLucho/Spark-Procesamiento-en-batch/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247398694,"owners_count":20932794,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["apache-spark","hadoop-hdfs","pyspark","python3"],"created_at":"2024-10-31T12:11:59.438Z","updated_at":"2026-04-20T03:37:55.989Z","avatar_url":"https://github.com/DevLucho.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Proyecto de Análisis de Datos con PySpark\n\n## Descripción\n\nEste proyecto utiliza PySpark para analizar datos de estudiantes a partir de un archivo CSV almacenado en HDFS. El objetivo es realizar diversas consultas sobre la información de los estudiantes, incluyendo su género, nivel educativo de los padres y puntajes en módulos evaluados.\n\n## Requisitos Previos\n\nAntes de ejecutar el código, asegúrate de tener instalados los siguientes componentes:\n\n- [Apache Spark](https://spark.apache.org/) (versión recomendada: 3.0 o superior)\n- [PySpark](https://pypi.org/project/pyspark/) (instalación mediante pip)\n- [Hadoop](https://hadoop.apache.org/) (para el sistema de archivos HDFS)\n- Python 3.x\n\n## Instalación\n\n1. **Clona este repositorio:**\n   ```bash\n   git clone https://github.com/DevLucho/Spark-Procesamiento-en-batch.git\n\n2. **Asegúrate de que el archivo CSV (u37r-hjmu.csv) esté disponible en HDFS en la ruta:**\n  hdfs://localhost:9000/Tarea3/u37r-hjmu.csv\n\n## Ejecución del Código\n\n1. Iniciar Spark: Asegúrate de que tu entorno Spark esté correctamente configurado y que los servicios necesarios estén en ejecución.\n2. Ejecutar el Script: Ejecuta el script en un entorno que soporte PySpark:\n  ```bash\n  spark-submit students_data_analysis.py\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevlucho%2Fspark-procesamiento-en-batch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdevlucho%2Fspark-procesamiento-en-batch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevlucho%2Fspark-procesamiento-en-batch/lists"}