Publishing logs data using Apache Flume | Real time data streaming on Hadoop

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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:

cd /usr/hdp/current/flume-server

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:

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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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