Python for Data Engineering and Analytics (Paperback)

Avis Gabe

ISBN 13: 9798285304364

Published by Independently Published, 2025

About this Item

Paperback. Are you ready to master the art of building efficient, scalable data pipelines with Python? Python for Data Engineering and Analytics offers a clear, practical guide to designing, automating, and optimizing data workflows that power today's data-driven organizations.This book takes you step-by-step through foundational concepts and hands-on techniques-covering data ingestion, transformation, orchestration, and advanced analytics. Learn how to handle diverse data sources, manage environments, implement robust testing, and integrate machine learning within your pipelines. Explore modern architectures like streaming, batch processing, and cloud-native deployments to build resilient systems that scale effortlessly.What makes this book stand out? It covers everything you need in one place, including: Foundations of data engineering and Python essentialsData acquisition from files, databases, APIs, and cloud storageCleaning and transforming data at scale with Pandas, Dask, and PySparkDesigning data models, managing schema evolution, and data warehousingBuilding, automating, and orchestrating ETL/ELT pipelines with Airflow and PrefectWorking with big data and real-time streaming technologiesAdvanced analytics, visualization, and interactive dashboard creationIntegrating machine learning into data workflowsCloud data platform architectures, serverless engineering, and cost optimizationBest practices for security, governance, version control, testing, and collaborationReal-world case studies demonstrating end-to-end solutionsWhether you're a data engineer, analyst, or software developer looking to expand your skillset, this book equips you with practical strategies and code examples to confidently build production-ready pipelines. Embrace modern data engineering principles and accelerate your ability to turn raw data into actionable insights.Start building scalable, reliable, and efficient data systems today-transform your data workflows and drive meaningful business outcomes with Python. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9798285304364

Bibliographic Details

• Title: Python for Data Engineering and Analytics (Paperback)
• Publisher: Independently Published
• Publication Date: 2025
• Language: English
• ISBN 13: 9798285304364
• Binding: Paperback
• Condition: new

About this title

Synopsis

Are you ready to master the art of building efficient, scalable data pipelines with Python? Python for Data Engineering and Analytics offers a clear, practical guide to designing, automating, and optimizing data workflows that power today’s data-driven organizations.

This book takes you step-by-step through foundational concepts and hands-on techniques—covering data ingestion, transformation, orchestration, and advanced analytics. Learn how to handle diverse data sources, manage environments, implement robust testing, and integrate machine learning within your pipelines. Explore modern architectures like streaming, batch processing, and cloud-native deployments to build resilient systems that scale effortlessly.

What makes this book stand out? It covers everything you need in one place, including:

• Foundations of data engineering and Python essentials

• Data acquisition from files, databases, APIs, and cloud storage

• Cleaning and transforming data at scale with Pandas, Dask, and PySpark

• Designing data models, managing schema evolution, and data warehousing

• Building, automating, and orchestrating ETL/ELT pipelines with Airflow and Prefect

• Working with big data and real-time streaming technologies

• Advanced analytics, visualization, and interactive dashboard creation

• Integrating machine learning into data workflows

• Cloud data platform architectures, serverless engineering, and cost optimization

• Best practices for security, governance, version control, testing, and collaboration

• Real-world case studies demonstrating end-to-end solutions

Whether you’re a data engineer, analyst, or software developer looking to expand your skillset, this book equips you with practical strategies and code examples to confidently build production-ready pipelines. Embrace modern data engineering principles and accelerate your ability to turn raw data into actionable insights.

Start building scalable, reliable, and efficient data systems today—transform your data workflows and drive meaningful business outcomes with Python.