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基于Hadoop生态SparkStreaming的大数据实时流处理平台的搭建 | 天狼武士的Blog
source link: http://www.tianshangkun.com/2018/01/26/%E5%9F%BA%E4%BA%8EHadoop%E7%94%9F%E6%80%81SparkStreaming%E7%9A%84%E5%A4%A7%E6%95%B0%E6%8D%AE%E5%AE%9E%E6%97%B6%E6%B5%81%E5%A4%84%E7%90%86%E5%B9%B3%E5%8F%B0%E7%9A
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随着公司业务发展,对大数据的获取和实时处理的要求就会越来越高,日志处理、用户行为分析、场景业务分析等等,传统的写日志方式根本满足不了业务的实时处理需求,所以本人准备开始着手改造原系统中的数据处理方式,重新搭建一个实时流处理平台,主要是基于Hadoop生态,利用Kafka作为中转,SparkStreaming框架实时获取数据并清洗,将结果多维度的存储进HBase数据库。 整个平台大致的框架如下:
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