Introduction to Apache Flink | Stream processing framework for big data | Hadoop Full Course

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This lecture is all about Introduction to Apache Flink which is nothing but a data stream processing framework for big data where we have seen what is Apache Flink, its main features, Flink ecosystem and Flink architecture in detail.

In the previous lecture we have seen Apache Spark Streaming hands-on exercise where we have processed web logs ingested using Apache Flume using spark streaming code written in Python. For Flume configuration, we have used spooldir as a source and Avro as a sink and then processed the data using PySpark Streaming code.

Below are the required commands for this lecture:

mkdir checkpoint

export SPARK_MAJOR_VERSION=24

cd /usr/hdp/current/flume-server/

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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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