Скачать или смотреть Building our first Spark Streaming Application! | PySpark Tutorial

In this lecture, we're going to build our first Spark Streaming Application which will listen to the socket connection for any incoming data and count the words and provide us the aggregated output.

Links/codes required for this lecture:

Install NCAT tool: https://nmap.org/dist/nmap-7.92-setup...

PySpark Streaming code:
https://github.com/ashaypatil11/hadoo...
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Anaconda Distributions Installation link:
https://www.anaconda.com/products/dis...

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PySpark installation steps on MAC: https://sparkbyexamples.com/pyspark/h...

Apache Spark Installation links:

1. Download JDK: https://www.oracle.com/in/java/techno...

2. Download Python: https://www.python.org/downloads/

3. Download Spark: https://spark.apache.org/downloads.html

Environment Variables:

HADOOP_HOME- C:\hadoop
JAVA_HOME- C:\java\jdk
SPARK_HOME- C:\spark\spark-3.3.1-bin-hadoop2
PYTHONPATH- %SPARK_HOME%\python;%SPARK_HOME%\python\lib\py4j-0.10.9-src;%PYTHONPATH%

Required Paths:

%SPARK_HOME%\bin
%HADOOP_HOME%\bin
%JAVA_HOME%\bin

Also check out our full Apache Hadoop course:
   • Big Data Hadoop Full Course  

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Apache Spark Installation links:

1. Download JDK: https://www.oracle.com/in/java/techno...

2. Download Python: https://www.python.org/downloads/

3. Download Spark: https://spark.apache.org/downloads.html
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Audience

This tutorial has been prepared for professionals/students aspiring to learn deep knowledge of Big Data Analytics using Apache Spark and become a Spark Developer and Data Engineer roles. In addition, it would be useful for Analytics Professionals and ETL developers as well.

Prerequisites

Before proceeding with this full course, it is good to have prior exposure to Python programming, database concepts, and any of the Linux operating system flavors.

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