Spark Programming in Python for Beginners with Apache Spark 3
Learn Data Engineering using Spark Structured API
Created by ScholarNest
Get hands-on with Spark programming using Python and discover how to build data engineering solutions from scratch. You'll explore the core concepts of Apache Spark 3 and learn to apply them in real-world scenarios. No prior Spark experience is needed, just a basic understanding of Python.
Packt | Feb 2022 | 395 min
What You Will Learn
You'll learn by doing, following along with live coding sessions that walk through each concept step by step. Real examples and practical exercises will help you understand how Spark works and how to use it for data engineering tasks. Each topic builds on the last, so you'll gain confidence as you progress.
Key Features
- Build data engineering pipelines using Spark Structured API in Python
- Understand Spark architecture and how it processes large datasets efficiently
- Transform, join, and aggregate data using Spark DataFrames and SQL
Target Audience
Perfect for software engineers and data professionals who want to start working with Apache Spark. If you know Python and want to design or build data pipelines, this is for you. No previous experience with Spark or Hadoop is required-just bring your curiosity and a desire to learn practical data engineering skills.
