Hadoop
Автор: D&E Deep Dive
Загружено: 2025-11-11
Просмотров: 9
We offer a comprehensive technical overview of the Hadoop ecosystem, detailing its fundamental components and related projects for large-scale data processing. The text explains core infrastructure like the Hadoop Distributed File System (HDFS), including its master-worker architecture with the Namenode and Datanodes, and the resource management framework YARN. It extensively covers MapReduce, contrasting it with traditional relational database systems and illustrating its concepts such as job execution, configuration tuning, and support for other languages via Hadoop Streaming. Furthermore, the sources explore advanced data processing tools such as Pig (a scripting language for large datasets), Hive (a data warehouse with SQL-like querying), Spark (a cluster computing framework with RDDs), and specialized components like HBase (a real-time database), Flume (for streaming data ingestion), and Sqoop (for bulk data transfer). Finally, the content touches upon data formats like Avro and Parquet, cluster administration, and distributed coordination using ZooKeeper.
Доступные форматы для скачивания:
Скачать видео mp4
-
Информация по загрузке:
![Суть линейной алгебры: #14. Собственные векторы и собственные значения [3Blue1Brown]](https://image.4k-video.ru/id-video/khMBBxLJLcw)
