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PySpark Structured Streaming Mastery|Abhishek Kumar

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

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9798248912803
  • ISBN-10: 9798248912803
  • Publisher: Independently Published
  • Publish Date: February 2026
  • Dimensions: 9 x 6 x 0.49 inches
  • Shipping Weight: 0.78 pounds
  • Page Count: 188

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