Скачать или смотреть 32. Structtype & StructField | Schema Definition in PySpark

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 create complex schema definitions in pyspark using the structtype and structfield classes. These classes can be used to define schemas and define complex schemas that include nested columns, nested lists and map columns.

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Azure Databricks



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GITHUB REPOSITORY:-
https://github.com/rehandominic/pyspa...
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Mockaroo :-
Tool to create sample data (csv etc..)
https://www.mockaroo.com

What is PySpark Introduction Video :-
   • 01. What is PySpark ? | Introduction to Py...  

Databricks Community Edition Setup Guide (Free Access to PySpark) :-
   • Learn PySpark for Free | Databricks Commun...  

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

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Data with Dominic

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