About Course

Harness the power of PySpark to process massive datasets efficiently. This course focuses on distributed data processing and real-time analytics using Apache Spark, preparing you for roles in data engineering and big data analytics.

Duration: 5 weeks, 6 hours per week.

Ideal For: Professionals working with big data or transitioning into data engineering roles.

What Will You Learn?

  • PySpark essentials: RDDs, DataFrames, and Spark SQL.
  • Distributed computing: Processing data across clusters.
  • Performance optimization techniques.
  • Real-world use cases: Building pipelines for large-scale data processing.
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This course includes:
  • Level Intermediate

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Material Includes

  • Flexible Deadlines
  • Hours of live- demo
  • Hours of live- demo
  • 200+ downloadable resoursces

Requirements

  • Basic Programming
  • Daily Update
  • Routine Study
  • Regular Join Class

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Audience

  • Technical People
  • Engineering Students
  • Programming Lover
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