---
product_id: 247100877
title: "Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python"
price: "Q1153"
currency: GTQ
in_stock: true
url: https://guatemala.desertcart.com/products/247100877-data-engineering-with-python-work-with-massive-datasets-to-design
store_origin: GT
region: Guatemala
---

# Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python

**Price:** Q1153
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
- **How much does it cost?** Q1153 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [guatemala.desertcart.com](https://guatemala.desertcart.com/products/247100877-data-engineering-with-python-work-with-massive-datasets-to-design)

## Best For

- Customers looking for quality international products

## Why This Product

- Free international shipping included
- Worldwide delivery with tracking
- 15-day hassle-free returns

## Description

Build, monitor, and manage real-time data pipelines to create data engineering infrastructure efficiently using open-source Apache projects Key features: Become well-versed in data architectures, data preparation, and data optimization skills with the help of practical examples Design data models and learn how to extract, transform, and load (ETL) data using Python Schedule, automate, and monitor complex data pipelines in production Book Description Data engineering provides the foundation for data science and analytics, and forms an important part of all businesses. This book will help you to explore various tools and methods that are used for understanding the data engineering process using Python. The book will show you how to tackle challenges commonly faced in different aspects of data engineering. You'll start with an introduction to the basics of data engineering, along with the technologies and frameworks required to build data pipelines to work with large datasets. You'll learn how to transform and clean data and perform analytics to get the most out of your data. As you advance, you'll discover how to work with big data of varying complexity and production databases, and build data pipelines. Using real-world examples, you'll build architectures on which you'll learn how to deploy data pipelines. By the end of this Python book, you'll have gained a clear understanding of data modeling techniques, and will be able to confidently build data engineering pipelines for tracking data, running quality checks, and making necessary changes in production. What you will learn Understand how data engineering supports data science workflows Discover how to extract data from files and databases and then clean, transform, and enrich it Configure processors for handling different file formats as well as both relational and NoSQL databases Find out how to implement a data pipeline and dashboard to visualize results Use staging and validation to check data before landing in the warehouse Build real-time pipelines with staging areas that perform validation and handle failures Get to grips with deploying pipelines in the production environment Who this book is for ﻿This book is for data analysts, ETL developers, and anyone looking to get started with or transition to the field of data engineering or refresh their knowledge of data engineering using Python. This book will also be useful for students planning to build a career in data engineering or IT professionals preparing for a transition. No previous knowledge of data engineering is required.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #1,431,969 in Books ( See Top 100 in Books ) #232 in Data Warehousing (Books) #449 in Data Modeling & Design (Books) #930 in Database Storage & Design |
| Customer Reviews | 4.1 out of 5 stars 160 Reviews |

## Images

![Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python - Image 1](https://m.media-amazon.com/images/I/712NB2pnF4L.jpg)

## Frequently Bought Together

- Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
- Fundamentals of Data Engineering: Plan and Build Robust Data Systems
- Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

---

## Why Shop on Desertcart?

- 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016
- 🌍 **Shop Globally** — Access 737+ million products across 21 categories
- 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price
- 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members)
- 🔒 **Secure Payments** — Trusted payment options with buyer protection
- ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews

**Shop now:** [https://guatemala.desertcart.com/products/247100877-data-engineering-with-python-work-with-massive-datasets-to-design](https://guatemala.desertcart.com/products/247100877-data-engineering-with-python-work-with-massive-datasets-to-design)

---

*Product available on Desertcart Guatemala*
*Store origin: GT*
*Last updated: 2026-11-10*