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Extract logic from your apps with a user-friendly node editor powered by React.
More than 2000+ Data engineer interview questions.
最好的大数据项目。《Titan数据运营系统》,本项目是一个全栈闭环系统,我们有用作数据可视化的web系统,然后用flume-kafaka-flume进行日志的读取,在hive设计数仓,编写spark代码进行数仓表之间的转化以及ads层表到mysql的迁移,使用azkaban进行定时任务的调度,使用技术:Java/Scala语言,Hadoop、Spark、Hive、Kafka、Flume、Azkaban、SpringBoot,Bootstrap, Echart等;
电影推荐系统、电影推荐引擎、使用Spark完成的电影推荐引擎
基于开源Litemall电商项目的大数据项目,包含前端埋点(openresty+lua)、后端埋点;数据仓库(五层)、实时计算和用户画像。大数据平台采用CDH6.3.2(已使用vagrant+ansible脚本化),同时也包含了Azkaban的workflow。
Educational notes,Hands on problems w/ solutions for hadoop ecosystem
The goal of this project is to build a docker cluster that gives access to Hadoop, HDFS, Hive, PySpark, Sqoop, Airflow, Kafka, Flume, Postgres, Cassandra, Hue, Zeppelin, Kadmin, Kafka Control Center and pgAdmin. This cluster is solely intended for usage in a development environment. Do not use it to run any production workloads.