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PySpark for Beginners | Edureka

Track :

Programming

Lessons no : 8

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What will you learn in this course?
  • Master PySpark data processing techniques for scalable big data analysis using Python, Apache Spark, distributed computing, and data pipelines
  • Implement PySpark transformations and actions to optimize large-scale data workflows and improve performance
  • Build and deploy real-time data processing pipelines with PySpark for efficient big data analytics and machine learning integration
  • Utilize PySpark SQL and DataFrame APIs to perform complex queries, data manipulation, and structured data analysis
  • Apply best practices for debugging, troubleshooting, and optimizing PySpark applications in distributed environments
  • Integrate PySpark with Python libraries like Pandas and MLlib to enhance data analysis, machine learning, and predictive modeling

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Lessons | 8


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PySpark is the Python API for Apache Spark, an open source, distributed computing framework and set of libraries for real-time, large-scale data processing. If you're already familiar with Python and libraries such as Pandas, then PySpark is a good language to learn to create more scalable analyses and pipelines.