Under the Hood of an Active Spark Streaming Query | PySpark Tutorial

In this lecture, we're going to discuss in brief about how Spark Streaming query gets executed on a Spark cluster and learn about different components of Spark architecture and their working principle in detail.
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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
Also check out similar informative videos in the field of cloud computing:

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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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Check out our full course topic wise playlist on some of the most popular technologies:

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