Publishing logs data using Apache Flume | Real time data streaming on Hadoop
This lecture is all about publishing logs data using Apache Flume where we have streamed some raw data using Telnet as a source and published it to logger sink in real time using Apache Flume architecture. You should be knowing some of the basic concepts of Apache Fume like what is sink, channel, source and how it works under the hood before heading for this tutorial.
Commands for this lecture:
wget https://raw.githubusercontent.com/ash...
cd /usr/hdp/current/flume-server
bin/flume-ng agent --conf conf --conf-file /home/maria_dev/flume_example.conf --name a1 -Dflume.root.logger=INFO, console
yum -y install telnet
In the previous lecture we have seen Apache Flume which is a distributed, reliable, and highly available platform for efficiently collecting, aggregating, and moving Big Data in real time. We have seen What is Apache Flume, its main features, Flume architecture and some of the benefits.
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HDP Sandbox Installation links:
Oracle VM Virtualbox: https://download.virtualbox.org/virtu...
HDP Sandbox link: https://archive.cloudera.com/hwx-sand...
HDP Sandbox installation guide: https://hortonworks.com/tutorial/sand...
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Audience
This tutorial is made for professionals who are willing to learn the basics of Big Data Analytics using Hadoop Ecosystem and become a Hadoop Developer. Software Professionals, Analytics Professionals, and ETL developers are the key beneficiaries of this course.
Prerequisites
Before you start proceeding with this course, I am assuming that you have some basic knowledge to Core Java, database concepts, and any of the Linux operating system flavors.
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