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Big Data with PySpark

  • Number of Courses1 courses
  • Duration1 hours
  • Skill IQ available Skill IQ

The Big Data with PySpark learning path equips learners with the skills to process, transform, and analyze large datasets efficiently. This path covers data ingestion, ETL workflows, query optimization, and distributed machine learning using PySpark DataFrames, SQL, MLlib, and Structured Streaming. By mastering performance tuning and real-time processing, learners can build scalable data pipelines for analytics, machine learning, and big data applications.

Courses in this path

Big Data with PySpark

Watch the following courses to start your big data with PySpark learning journey.

Big Data Analytics with PySpark

  • by Warner Chaves
  • 1h 10m 55s Duration

Learn with the best

Warner Chaves
Warner Chaves
Warner is a SQL Server Certified Master, MVP, and Solutions Architect at Pythian, a global Canada-based company specializing in data and infrastructure services. A brief stint in .NET programming led to his early DBA formation, working for enterprise customers in Hewlett-Packard's ITO organization. From HP he transitioned to his current position at Pythian, managing multiple clients of different sizes and industries. He leads a highly-talented team of data professionals that keep things running ... more

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