Apache Spark Streaming | Real-time data processing for Hadoop | Big Data Tutorial

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This lecture is all about Apache Spark Streaming where we have seen how to process real-time data streams using Apache Spark using its Spark Streaming API which allows multiple sources such as Kafka, file system, Cassandra, MySQL, HBase and processes the data in real time efficiently and reliably and uses sink as many options like HDFS, Kafka, Cassandra, MySQL, HBase etc.

In the previous lecture we have streaming data to HDFS using Apache Flume where we have set up the Flume Agent to listen to a directory in HDP Sandbox using SpoolDir as a source and streamed to HDFS directory in real time.

Commands for this lecture:

cd /usr/hdp/current/flume-server

mkdir spool

On Ambari, create directory under user/maria_dev/flume

Go to Ambari and verify

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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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#bigdata #datascience #dataanalytics #datascientist #hadoop #hdfs #hdp #mongodb #cassandra #hbase #nosqldatabase #nosql #pyspark #spark #presto #hadooptutorial #hadooptraining

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sir, How many concepts still remaining

bharathns

Sir, I have project base on spark i.e. real time weather forecast by using spark...

So how as well as where I can start streaming of spark indetails

pratibhakoli

Sir how many days you take to complete Big data

bharathns

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