25. PySpark SELECT | Query Dataframe Using Select Function

PySpark is an Application Programming Interface (API) for Apache Spark in Python . The Apache Spark framework is often used for. Large scale big data processing and machine learning workloads. Apache Spark is a huge improvement in big data processing capabilities from previous frameworks such as Hadoop MapReduce. This is due to its use of RDD’s or Resilient Distributed Datasets.

As greater amounts of data are being generated at rates faster than ever before in history. Skilled individuals are required, who have the ability to handle this data and use it to derive insights and provide value.

In this session, We will teach you how to use the when otherwise function in pyspark , which is similar to case when expression in sql. The Query Function in PySpark allows us to Query Dataframes , we can choose specific columns , single columns or multiple columns. We can also specify an else expression.

Query Dataframe using Select Function
Select Function
Select Function in PySpark
Query Dataframe
Select()
Select from dataframe
Query multiple columns
Query single columns
Select functions

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GITHUB REPOSITORY:-
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Mockaroo :-
Tool to create sample data (csv etc..)

What is PySpark Introduction Video :-

Databricks Community Edition Setup Guide (Free Access to PySpark) :-

This video is part of a PySpark Tutorial playlist that will take you from beginner to pro.

✔ Topics You’ll Learn:

Spark SQL
SQL
Databricks SQL
PySpark SQL
Pyspark

Keywords :-

Pyspark
Pyspark Tutorial
Pyspark Introduction
Python Spark
Apache
Apache Spark
Python Spark
Azure Databricks
Azure Synapse
RDDDataframe
Databricks
Pyspark tutorial GitHub
Pyspark tutorial pdf
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Pyspark tutorialspoint
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Simply learning
Big Data
Using pyspark
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Data with Dominic

#bigdata #spark #pyspark #databricks #apache #azure #gcp #aws #tutorial #DataWithDominic #synapse

[_indrid_cold_]

Hmmm thats a bit less of the querying the dataframe and a bit more of the selecting columns from the dataframe though isn't it?