ELT Process Using PySpark | PySpark Tutorial for Beginners

🚀 Learn how to perform ETL (Extract, Transform, Load) operations using PySpark, the powerful Python API for Apache Spark. This video covers the complete ETL pipeline including:

✅ Extracting data from various sources (CSV, JSON, databases)
✅ Transforming data using PySpark DataFrame operations
✅ Loading the transformed data into target destinations (like Hive, HDFS, or databases)

📌 Topics Covered:
00:00 - Introduction to ETL & PySpark
01:30 - Setting up PySpark Environment
03:00 - Extracting Data
06:45 - Data Cleaning and Transformation
10:20 - Writing Data to Target
12:00 - ETL Job Execution Example
14:00 - Best Practices and Tips

🛠 Tools & Technologies:

Apache Spark

PySpark

Python

Hadoop (optional)

Jupyter Notebook / VS Code

💡 Ideal for beginners and intermediate users looking to master data engineering workflows with PySpark.