You want to understand more about how users browse your public website. For example, you
want to know which pages they visit prior to placing an order. You have a server farm of 200 web
servers hosting your website. Which is the most efficient process to gather these web server
across logs into your Hadoop cluster analysis?
A.
Sample the web server logs web servers and copy them into HDFS using curl
B.
Ingest the server web logs into HDFS using Flume
C.
Channel these clickstreams into Hadoop using Hadoop Streaming
D.
Import all user clicks from your OLTP databases into Hadoop using Sqoop
E.
Write a MapReeeduce job with the web servers for mappers and the Hadoop cluster nodes for
reducers
B is the correct answer.
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B
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A & B both.
For answer A, please refer- http://blog.cloudera.com/blog/2012/09/analyzing-twitter-data-with-hadoop/
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It takes about more “Efficient” method, Flume is efficient over the method defined in A.
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B
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B
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B
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This is not a multi-choice question.
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Option B is correct
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