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Cleaning Data with PySpark

4.1+
17 reviews
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Learn how to clean data with Apache Spark in Python.

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4 Hours16 Videos53 Exercises
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Course Description

Working with data is tricky - working with millions or even billions of rows is worse. Did you receive some data processing code written on a laptop with fairly pristine data? Chances are you’ve probably been put in charge of moving a basic data process from prototype to production. You may have worked with real world datasets, with missing fields, bizarre formatting, and orders of magnitude more data. Even if this is all new to you, this course helps you learn what’s needed to prepare data processes using Python with Apache Spark. You’ll learn terminology, methods, and some best practices to create a performant, maintainable, and understandable data processing platform.
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In the following Tracks

Big Data with PySpark

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  1. 1

    DataFrame details

    Free

    A review of DataFrame fundamentals and the importance of data cleaning.

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    Intro to data cleaning with Apache Spark
    50 xp
    Data cleaning review
    50 xp
    Defining a schema
    100 xp
    Immutability and lazy processing
    50 xp
    Immutability review
    50 xp
    Using lazy processing
    100 xp
    Understanding Parquet
    50 xp
    Saving a DataFrame in Parquet format
    100 xp
    SQL and Parquet
    100 xp
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In the following Tracks

Big Data with PySpark

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Datasets

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Collaborators

Collaborator's avatar
Hadrien Lacroix
Collaborator's avatar
Hillary Green-Lerman
Mike Metzger HeadshotMike Metzger

Data Engineer Consultant @ Flexible Creations

Mike is a consultant focusing on data engineering and analysis using SQL, Python, and Apache Spark among other technologies. He has a 20+ year history of working with various technologies in the data, networking, and security space.
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Don’t just take our word for it

*4.1
from 17 reviews
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  • Syed O.
    3 months

    I did learn alot from the course and it definitely talked about many pyspark features not mentioned in other courses however more explaination with examples for tougher and complicated topics in the course would have been better

  • André S.
    4 months

    Eu aprendi demais com esse curso. Gostei muito dos laboratórios também.

  • Douglas L.
    12 months

    Very Good Content.

  • Jegan D.
    about 1 year

    Very good course with challenging examples. The only problem is that I found it difficult to submit some of my answers or the solution provided. This happened in two different exercises.

  • Martin G.
    over 1 year

    It´s a great course, very in - deep view of topics

"I did learn alot from the course and it definitely talked about many pyspark features not mentioned in other courses however more explaination with examples for tougher and complicated topics in the course would have been better"

Syed O.

"Eu aprendi demais com esse curso. Gostei muito dos laboratórios também."

André S.

"Very Good Content."

Douglas L.

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