Udemy

A Crash Course In PySpark

立即報名
  • 36,822 名學生
  • 更新於 4/2023
4.5
(7,783 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
1 小時 15 分鐘
教學語言
英語
授課導師
Kieran Keene
評分
4.5
(7,783 個評分)
13次瀏覽

課程簡介

A Crash Course In PySpark

Learn all the fundamentals of PySpark

Spark is one of the most in-demand Big Data processing frameworks right now.


This course will take you through the core concepts of PySpark. We will work to enable you to do most of the things you’d do in SQL or Python Pandas library, that is:

  • Getting hold of data

  • Handling missing data and cleaning data up

  • Aggregating your data

  • Filtering it

  • Pivoting it

  • And Writing it back

All of these things will enable you to leverage Spark on large datasets and start getting value from your data.

Let’s get started.

課程章節

  • 5 個章節
  • 20 堂課
  • 第 1 章 Introduction
  • 第 2 章 A Scenario To Get Us Started
  • 第 3 章 Core Concepts
  • 第 4 章 Challenge
  • 第 5 章 Conclusion

課程內容

  • PySpark, Apache Spark, Big Data Analytics, Big Data Processing, Python


評價

  • S
    Seeni Kannan Manikka
    5.0

    The expected topics were covered with clear explanation. thanks

  • A
    Atmakuru Madhav Tarun
    4.5

    There was no explanation of spark and it's components.

  • N
    NAGESH Vaasa
    4.0

    Good for basics. good if you can add different types of JSON reading and explode function. also, more coverage on calling sql end along with reading real time streaming data.

  • A
    Avish Kadam
    5.0

    Training is very good with more practical examples

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