大数据入门spark3.0入门到精通Spark-day06.rar

[{"title":"（ 12 个子文件 595.06MB ） 大数据入门spark3.0入门到精通Spark-day06.rar","children":[{"title":"Spark-day06","children":[{"title":"Spark-day06","children":[{"title":"01-[了解]-StructuredStreaming整合Kafka官方说明.mp4 <span style='color:#111;'> 32.68MB </span>","children":null,"spread":false},{"title":"08-[掌握]-Spark综合案例-实时数据分析-代码实现-1-数据加载和转换.mp4 <span style='color:#111;'> 33.74MB </span>","children":null,"spread":false},{"title":"03-[掌握]-StructuredStreaming整合Kafka-案例2-物联网设备实时分析.mp4 <span style='color:#111;'> 51.15MB </span>","children":null,"spread":false},{"title":"10-[理解]-Spark综合案例-实时推荐易错题-需求分析和模型准备.mp4 <span style='color:#111;'> 43.19MB </span>","children":null,"spread":false},{"title":"07-[了解]-Spark综合案例-环境搭建和数据发送.mp4 <span style='color:#111;'> 60.80MB </span>","children":null,"spread":false},{"title":"09-[掌握]-Spark综合案例-实时数据分析-代码实现-2-业务需求代码实现.mp4 <span style='color:#111;'> 55.24MB </span>","children":null,"spread":false},{"title":"06-[了解]-Spark综合案例-流程分析和业务模块划分.mp4 <span style='color:#111;'> 19.15MB </span>","children":null,"spread":false},{"title":"04-[掌握]-StructuredStreaming-基于事件时间的窗口计算-水位线解决数据延迟到达问题.mp4 <span style='color:#111;'> 75.98MB </span>","children":null,"spread":false},{"title":"12-[掌握]-Spark综合案例-实时推荐易错题-代码实现-2-给用户推荐并存储推荐结果.mp4 <span style='color:#111;'> 86.20MB </span>","children":null,"spread":false},{"title":"11-[掌握]-Spark综合案例-实时推荐易错题-代码实现-1-加载数据和模型.mp4 <span style='color:#111;'> 45.80MB </span>","children":null,"spread":false},{"title":"05-[掌握]-StructuredStreaming-流去重.mp4 <span style='color:#111;'> 34.44MB </span>","children":null,"spread":false},{"title":"02-[掌握]-StructuredStreaming整合Kafka-案例1-实时ETL.mp4 <span style='color:#111;'> 73.31MB </span>","children":null,"spread":false}],"spread":false}],"spread":true}],"spread":true}]