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PySpark Interview Questions & Answers | PySpark Interview Questions
PySpark Interview Questions and Answers video includes all the frequently asked Interview questions that give you an idea to crack your PySpark interview smartly. These Interview questions are curated by experts and will help you to brush up your knowledge in PySpark. This video session is designed for both beginners and professionals who want to prepare for a PySpark Interview.
Want more similar videos- hit like, comment, share and subscribe
❤️Do Like, Share and Comment ❤️
❤️ Like Aim 5000 likes! ❤️
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Please like & share the video
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script
question 1
data1= [(1,"manish","data engineer"),(2,"rani","data analyst"),(3,"manju","data science")]
column1 =["id","name","department"]
data2= [(3,"harish"),(4,"monish"),(5,"priti")]
column2 =["id","name"]
question 2
# Create SparkSession
.getOrCreate()
# Prepare data
data = [('James','Java'),
('James','Python'),
('James','Python'),
('Anna','PHP'),
('Anna','Javascript'),
('Maria','Java'),
('Maria','C++'),
('James','Scala'),
('Anna','PHP'),
('Anna','HTML')
]
# Create DataFrame
➖➖➖➖➖➖➖➖➖➖➖➖➖
PYSPARK PLAYLIST -
➖➖➖➖➖➖➖➖➖➖➖➖➖
📣Want to connect with me? Check out these links:📣
➖➖➖➖➖➖➖➖➖➖➖➖➖
what we have covered in this video:
➖➖➖➖➖➖➖➖➖➖➖➖➖
Hope you liked this video and learned something new :)
See you in next video, until then Bye-Bye!
➖➖➖➖➖➖➖➖➖➖➖➖➖
#sqlserver #sqlinterviewquestions #sqlinterviewquestionsandanswers #sqlinterview
PySpark Interview Questions and Answers video includes all the frequently asked Interview questions that give you an idea to crack your PySpark interview smartly. These Interview questions are curated by experts and will help you to brush up your knowledge in PySpark. This video session is designed for both beginners and professionals who want to prepare for a PySpark Interview.
Want more similar videos- hit like, comment, share and subscribe
❤️Do Like, Share and Comment ❤️
❤️ Like Aim 5000 likes! ❤️
➖➖➖➖➖➖➖➖➖➖➖➖➖
Please like & share the video
➖➖➖➖➖➖➖➖➖➖➖➖➖
script
question 1
data1= [(1,"manish","data engineer"),(2,"rani","data analyst"),(3,"manju","data science")]
column1 =["id","name","department"]
data2= [(3,"harish"),(4,"monish"),(5,"priti")]
column2 =["id","name"]
question 2
# Create SparkSession
.getOrCreate()
# Prepare data
data = [('James','Java'),
('James','Python'),
('James','Python'),
('Anna','PHP'),
('Anna','Javascript'),
('Maria','Java'),
('Maria','C++'),
('James','Scala'),
('Anna','PHP'),
('Anna','HTML')
]
# Create DataFrame
➖➖➖➖➖➖➖➖➖➖➖➖➖
PYSPARK PLAYLIST -
➖➖➖➖➖➖➖➖➖➖➖➖➖
📣Want to connect with me? Check out these links:📣
➖➖➖➖➖➖➖➖➖➖➖➖➖
what we have covered in this video:
➖➖➖➖➖➖➖➖➖➖➖➖➖
Hope you liked this video and learned something new :)
See you in next video, until then Bye-Bye!
➖➖➖➖➖➖➖➖➖➖➖➖➖
#sqlserver #sqlinterviewquestions #sqlinterviewquestionsandanswers #sqlinterview
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