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 how to filter data in a dataframe using the where function in pyspark within databricks. Databricks is a cloud-based big data processing platform. It has a community edition which gives you most of the platforms capabilities for free.
Filter data in pyspark
Filter data in pyspark using where
Where function in pyspark
Pyspark where function
Filter data in dataframe based on a condition
Filter dataframe
Filter a dataframe using where
where()
df.where()
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GITHUB REPOSITORY:-
[ Ссылка ]
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Mockaroo :-
Tool to create sample data (csv etc..)
[ Ссылка ]
What is PySpark Introduction Video :-
[ Ссылка ]
Databricks Community Edition Setup Guide (Free Access to PySpark) :-
[ Ссылка ]
This video is part of a PySpark Tutorial playlist that will take you from beginner to pro.
✔ Topics You’ll Learn:
Dataframe
RDD
Filter dataframe pyspark
Conditions
Conditions pyspark
Where conditions
Where function
where()
Df.where()
Filter data pyspark
where() function
where() vs filter()
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Simply learning
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Data with Dominic
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