Hadoop Offline Analysis Architecture in Actual Projects

Source: Internet
Author: User
Keywords hadoop hadoop architecture hadoop architecture explained
Clickstream log data mining overview
Many websites (such as e-commerce) will collect the user's browsing behavior, and then analyze it to achieve functions such as advertising recommendations, which can improve website design and increase corporate profits.

data collection
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Data processing flow


Generally, offline analysis is this process.

Overview of each process:

Data collection: Customize the development of the collection program, or use the open source framework FLUME
Data preprocessing: custom-developed mapreduce program runs on the hadoop cluster
Data warehouse technology: Hive based on hadoop
Data export: sqoop data import and export tool based on hadoop
Data visualization: customized development of web programs or use of products such as kettle
Process scheduling of the entire process: oozie tools or other similar open source products in the hadoop ecosystem
After the data collection is completed, because the amount of data is very large, the subsequent operations are processed using distributed programs.

Typical recommended system architecture
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