Apache Spark DataFrame vs Dataset vs RDD | Project Tungsten, Catalyst Optimizer | PySpark Tutorial

In this lecture, we're going to understand DataFrame vs Dataset vs RDD and which Spark structured API is preferable over the other. we have also discussed about underlying Spark SQL Engine including Spark Project Tungsten and Catalyst Optimizer which runs your PySpark SQL workloads under the hood efficiently.
Anaconda Distributions Installation link:
www.anaconda.c...
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PySpark installation steps on MAC: sparkbyexample...
Apache Spark Installation links:
1. Download JDK: www.oracle.com...
2. Download Python: www.python.org...
3. Download Spark: spark.apache.o...
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 C...
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Apache Spark Installation links:
1. Download JDK: www.oracle.com...
2. Download Python: www.python.org...
3. Download Spark: spark.apache.o...
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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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