Spark DataFrame Explained | What is DataFrame and how to create it? | Hadoop Tutorial
This lecture is all about understanding the core concepts of Apache Spark where we have seen what is DataFrame, why we use it, what is the performance improvements while using DataFrame, RDD vs DataFrame how to create DataFrame by different ways in details.
In the previous lecture we have seen understanding the core concepts of Apache Spark where we have seen what is RDD (Resilient Distributed Dataset), how to create an RDD, what are the different actions and transformations which can be applied to RDD in details.
RDD Transformations:
flatMap
map
reduceByKey
sortByKey
filter
RDD Actions:
count()
first()
max()
take()
collect()
saveAsTextFile()
Also we have see where does Spark sits in Hadoop stack and some basic features of Apache Spark.
Get the required files:
wget https://raw.githubusercontent.com/ash...
wget https://raw.githubusercontent.com/ash...
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Installing mrjob on HDP 2.6.5 (be sure to "su root" first, as shown in the video.)
yum-config-manager --save --setopt=HDP-SOLR-2.6-100.skip_if_unavailable=true
yum install https://repo.ius.io/ius-release-el7.rpm https://dl.fedoraproject.org/pub/epel...
yum install python-pip
pip install pathlib
pip install mrjob==0.7.4
pip install PyYAML==5.4.1
yum install nano
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Want to know more about Big Data? then checkout the full course dedicated to Big Data fundamentals: • Big Data Full Course
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HDP Sandbox Installation links:
Oracle VM Virtualbox: https://download.virtualbox.org/virtu...
HDP Sandbox link: https://archive.cloudera.com/hwx-sand...
HDP Sandbox installation guide: https://hortonworks.com/tutorial/sand...
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Also check out similar informative videos in the field of cloud computing:
What is Big Data: • What is Big Data? | Big Data Use Case...
How Cloud Computing changed the world: • How Cloud Computing changed the world!
What is Cloud? • What is Cloud Computing?
Top 10 facts about Cloud Computing that will blow your mind! • Top 10 facts about Cloud Computing th...
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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