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Apache PySpark by Example 预览

Apache PySpark by Example

讲师: Jonathan Fernandes 2,196 位用户赞了
时长: 1 小时 58 分钟 技能水平: 中级 发布日期: 2019/1/31

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Want to get up and running with Apache Spark as soon as possible? If you're well versed in Python, the Spark Python API (PySpark) is your ticket to accessing the power of this hugely popular big data platform. This practical, hands-on course helps you get comfortable with PySpark, explaining what it has to offer and how it can enhance your data science work. To begin, instructor Jonathan Fernandes digs into the Spark ecosystem, detailing its advantages over other data science platforms, APIs, and tool sets. Next, he looks at the DataFrame API and how it's the platform's answer to many big data challenges. Finally, he goes over Resilient Distributed Datasets (RDDs), the building blocks of Spark.

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学员评价

4.7 分，最高 5 分

1,334 条评分
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  • PARAG CHITALE PARAG CHITALE

    PARAG CHITALE

    5/5 2024年9月21日
    Good content and explanations with Examples by Jonathan. Highly recommended for Beginners to learn basics of PySpark.
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  • Tom Keating Tom Keating

    Tom Keating

    Looking for new opportunities

    1/5 2024年9月15日
    Terrible. Wound up wasting tons of time trying to set up all these files the lecturer already had at his fingertips--plust the versions that came with colab needed updating, the files I found didn't work, so I couldn't do anything side by side. Completely useless.
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  • Alexander Serov Alexander Serov

    Alexander Serov

    Senior Data Scientist | Expert in Machine Learning, Optimization, Modeling & Simulations | R&D | Ph.D. in Biophysics | Ecole Polytechnique

    3/5 2024年8月13日
    The course is OK, but the time is not distributed ideally between the topics: in my opinion, the typing of lines and performing basic operations takes too much time, while the important topics of the why, when to use it and how to integrate pyspark into a workflow and how to think about it in terms of existing projects is presented too fast.
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