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PySpark Structured Streaming Mastery: Build Real-Time Data Pipelines with Kafka, Apache Spark & Production-Ready Techniques
Paperback
Series: Data Engineering Domain for Professional, Book 10
Publisher: Independently Published
Published: Feb 18 2026
Pages: 188
Weight: 0.78
Height: 0.49 Width: 6.00 Depth: 9.00
Language: English
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.
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