Big Data with Python & Spark (Paperback)

Thompson Carter

ISBN 13: 9798290087924

Published by Independently Published, 2025

About this Item

Paperback. Handle Big Data Like a Pro-With Python and Apache SparkToday's data is massive. Terabytes. Petabytes. If you want to work at scale, you need tools that move fast and scale even faster.Big Data with Python & Spark gives you everything you need to analyze, transform, and process massive datasets using two of the most powerful tools in data engineering.This book blends Python's flexibility with Spark's power, helping you go from raw logs to clean insights-fast. Whether you're a data analyst, engineer, or developer, this hands-on guide equips you with the knowledge to tackle real-world big data projects with confidence.What You'll Learn: How to set up Spark and PySpark environments for big data projectsThe fundamentals of resilient distributed datasets (RDDs) and DataFramesData cleaning, ETL pipelines, and batch processing at scaleWriting fast, efficient Spark jobs with PythonWorking with structured and semi-structured data: JSON, CSV, ParquetReal-world use cases in finance, retail, IoT, and web analyticsPerformance tuning, lazy evaluation, and memory management in SparkRunning Spark on local machines, clusters, or in the cloudVisualizing massive data outputs and building summariesWhether you're processing a few gigabytes or a hundred terabytes, this book will help you write scalable, maintainable, and powerful big data pipelines.Code smarter. Analyze faster. Scale bigger. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9798290087924

Bibliographic Details

• Title: Big Data with Python & Spark (Paperback)
• Publisher: Independently Published
• Publication Date: 2025
• Language: English
• ISBN 13: 9798290087924
• Binding: Paperback
• Condition: new

About this title

Synopsis

Handle Big Data Like a Pro—With Python and Apache Spark

Today’s data is massive. Terabytes. Petabytes. If you want to work at scale, you need tools that move fast and scale even faster.
Big Data with Python & Spark gives you everything you need to analyze, transform, and process massive datasets using two of the most powerful tools in data engineering.

This book blends Python's flexibility with Spark's power, helping you go from raw logs to clean insights—fast. Whether you’re a data analyst, engineer, or developer, this hands-on guide equips you with the knowledge to tackle real-world big data projects with confidence.

What You'll Learn:

• How to set up Spark and PySpark environments for big data projects

• The fundamentals of resilient distributed datasets (RDDs) and DataFrames

• Data cleaning, ETL pipelines, and batch processing at scale

• Writing fast, efficient Spark jobs with Python

• Working with structured and semi-structured data: JSON, CSV, Parquet

• Real-world use cases in finance, retail, IoT, and web analytics

• Performance tuning, lazy evaluation, and memory management in Spark

• Running Spark on local machines, clusters, or in the cloud

• Visualizing massive data outputs and building summaries

Whether you’re processing a few gigabytes or a hundred terabytes, this book will help you write scalable, maintainable, and powerful big data pipelines.

Code smarter. Analyze faster. Scale bigger.