July Online Session: Data Engineering with Apache Spark (PySpark Basics)

### July Online Session: Data Engineering with Apache Spark (PySpark Basics)

💡 Struggling with large datasets? Learn how to process big data efficiently with Apache Spark!

In today’s data-driven world, handling massive datasets efficiently is a must-have skill for data professionals. Apache Spark, powered by PySpark, is one of the most powerful tools for big data processing. In this hands-on session, we’ll introduce the fundamentals of PySpark and how it enables scalable and distributed data processing.

### What You’ll Learn:

✅ What is Apache Spark, and why is it useful?
✅ Understanding the Spark architecture & execution model
✅ Setting up PySpark and writing your first Spark application
✅ Data manipulation with Spark DataFrames
✅ Optimizing queries and performance tuning in PySpark

### Who Should Attend?

🚀 Data Engineers & Analysts working with large datasets
📊 Data Scientists who need scalable ML data pipelines
🔍 Anyone interested in distributed computing & big data
📌 Prerequisites: Basic knowledge of Python & SQL

📅 Date: 8th July 2025
🕕 Time: 6 PM
🌍 Where: Online (Link provided upon registration)

🔗 Register Now & Learn How to Scale Data Processing with PySpark!
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