33 Code demonstration of PySpark's window function

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Course Introduction
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Suitable for people
● Students who want to learn big data processing technology; ● Programmers who have become professionals in data development and want to deal with large-scale data scenarios; ● Be interested in big data field and want to explore and learn new technologies to achieve advancement;
You will learn
Learn the processing flow of big data from zero to one, and implement Spark's technical processing step by step in combination with Python
  • After learning the course, you can process the cluster resources of Python calling Spark, and realize the whole process development capability
  • Master the whole process of big data processing, which can be used for large-scale data processing
Course Introduction

Spark is a very popular big data processing technology at present. PySpark is a very convenient way to use Python to implement Spark data processing. This course introduces Python in combination with Spark's data processing and analysis technology, including data reading, filtering, cleaning, statistics, conversion, summary statistics, and data visualization. It also explains cases in combination with real data.

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