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Spark and Python for Big Data with PySpark

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7.1k+ views udemy.com

Description

Learn how to use Spark with Python, including Spark Streaming, Machine Learning, Spark 2.0 DataFrames and more!

Course Provider udemy.com

This tutorial is provided by an online learning platform that offers a wide range of courses in various fields, including data science, programming, and technology. The platform collaborates with industry experts and experienced instructors to deliver high-quality educational content to learners worldwide.

Topic Apache Spark

The 'Spark and Python for Big Data with PySpark' tutorial focuses on teaching students how to use Apache Spark with Python for big data processing. It covers essential concepts of distributed computing, data manipulation, and analysis using PySpark, which is the Python API for Spark. The course aims to equip learners with practical skills to handle large-scale data processing tasks efficiently.

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Benefits

  • Learn from industry experts and experienced instructors
  • Gain practical skills in big data processing with Spark and Python
  • Access to hands-on exercises and real-world examples
  • Flexible learning schedule with on-demand video content
  • Opportunity to earn a certificate upon completion
  • Develop skills highly sought after in the data science industry
  • Learn to work with large-scale datasets efficiently
  • Understand distributed computing concepts and their applications