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PySpark Tutorial

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Overview

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Kurzes praxisorientiertes Video-Tutorial zu PySpark: Einführung, Arbeit mit PySpark-DataFrames, Umgang mit fehlenden Werten, Groupby- und Aggregatfunktionen, Installation und Nutzung von Spark MLlib sowie eine Einführung in Databricks mit der Umsetzung einer linearen Regression auf einem Single Cluster. Geeignet für Einsteiger mit Python-Grundkenntnissen, die verteilte Datenverarbeitung kennenlernen möchten.

Syllabus

Pyspark Introduction.
Pyspark Dataframe Part 1.
Pyspark Handling Missing Values.
Pyspark Dataframe Part 2.
Pyspark Groupby And Aggregate Functions.
Pyspark Mlib And Installation And Implementation.
Introduction To Databricks.
Implementing Linear Regression using Databricks in Single Clusters.

Taught by

freeCodeCamp.org

Reviews

5.0 rating, based on 1 Class Central review

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  • Profile image for Yoshima Putri
    Yoshima Putri @yoshimaputri
    The PySpark tutorial course is an excellent choice for beginners due to its clear and step-by-step practical approach. The explanations provided are thorough, making it easy for newcomers to grasp the fundamental concepts of PySpark and Apache Spark. The course effectively introduces learners to Spark's powerful data processing capabilities and demonstrates how to apply them in real-world scenarios.

    What sets this tutorial apart is its focus on practicality. Each concept is accompanied by hands-on exercises and examples that reinforce the learning process. The course guides learners through the installation and setup of PySpark, ensuring a smooth transition into using the framework.
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