PySpark ETL Project for Real-Time Data Processing

Master PySpark for real-time ETL projects

₹2,999

₹4,000

Instructor: Mohan Dev

About the course

Description:

This PySpark ETL project course is designed to teach you how to build a real-time data processing pipeline using PySpark. You will learn how to extract, transform, and load data from various sources in real-time, enabling you to perform analytics and gain insights quickly.

Key Highlights:

  • Real-time data processing with PySpark
  • ETL pipeline implementation
  • Hands-on project experience

What you will learn:

  • Learn ETL Concepts
    Understand the principles of Extract, Transform, Load (ETL) in the context of real-time data processing.
  • PySpark Fundamentals
    Get a strong grasp of PySpark basics and learn how to apply them in ETL projects.
  • Hands-On Project
    Implement a real-time data processing pipeline using PySpark in a guided project.
  • Performance Optimization
    Explore techniques to optimize the performance of your PySpark ETL processes.
  • Data Analytics
    Utilize PySpark for performing analytics on real-time data streams.
  • Troubleshooting & Debugging
    Learn how to troubleshoot and debug common issues in PySpark ETL pipelines.

Syllabus

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