PySpark Structured Streaming Mastery: Build Real-Time Data Pipelines with Kafka, Apache Spark & Production-Ready Techniques

By: Kumar, Abhishek

Master Real-Time Data Processing with PySpark Structured Streaming - Even If You're Starting from Scratch

Modern data platforms demand real-time insights, scalable pipelines, and fault-tolerant streaming architectures. PySpark Structured Streaming has become one of the most in-demand skills for data engineers working with Apache Spark and Kafka.

This practical, hands-on guide takes you step-by-step from streaming fundamentals to production-ready pipeline design.

Inside this book, you will learn how to:

Build end-to-end real-time pipelines using PySpark

Integrate Apache Kafka with Structured Streaming

Master window functions, watermarking, and late data handling

Implement stateful processing and stream-stream joins

Optimize performance for large-scale workloads

Monitor and troubleshoot production streaming jobs

Deploy streaming pipelines on Databricks

Crack PySpark Structured Streaming interview questions

Unlike many theoretical books, this guide focuses on real production scenarios, hands-on labs, and interview-focused explanations that data engineers actually need on the job.

Whether you are:

An aspiring data engineer

A Spark developer moving into streaming

A professional preparing for data engineering interviews

Or someone building real-time analytics systems

This book will give you the practical knowledge and confidence to work with PySpark Structured Streaming in real-world environments.

Start building production-ready streaming pipelines today.

• Format: Paperback
• Language: English
• ISBN: B0GPCV9HDD
• ISBN13: 9798248912803
• Release Date: February 2026
• Publisher: Independently Published
• Length: 188 Pages
• Weight: 0.78 lbs.
• Dimensions: 0.5" x 6.0" x 9.0"