Data Engineering With Aws
Los 10 mejores productos de octubre de 2025
Última actualización:
9 de octubre de 2025
Packt Publishing
Data Engineering with AWS: Acquire the skills to design and build AWS-based data transformation pipelines like a pro
Envío gratis
99
CALIDAD MÁXIMA
VER EN AMAZON
Amazon.es
#1 GANADOR
Bpb Publications
Data Engineering with AWS: A practical guide to building scalable and secure enterprise data platforms (English Edition)
Envío gratis
96
CALIDAD SUPERIOR
VER EN AMAZON
Amazon.es
#2
AWS Glue for Data Engineering: Serverless ETL, Analytics, and Workflow Automation for Modern Cloud Pipelines (Cloud Data Engineering Mastery Series) (English Edition)
93
CALIDAD EXCELENTE
VER EN AMAZON
Amazon.es
#3
Packt Publishing
Data Engineering with AWS: Learn how to design and build cloud-based data transformation pipelines using AWS
23% Descuento
Envío gratis
89
CALIDAD DISTINGUIDA
VER EN AMAZON
Amazon.es
#4
Packt Publishing
Data Engineering with AWS Cookbook: A recipe-based approach to help you tackle data engineering problems with AWS services
Envío gratis
85
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VER EN AMAZON
Amazon.es
#5
APress
Data Engineering with Generative and Agentic AI on AWS: Building an AI-Augmented Data Practice for the Enterprise
Envío gratis
81
CALIDAD BUENA
VER EN AMAZON
Amazon.es
#6
Independently published
Data Engineering Mastery: a Comprehensive Guide for AWS Certification
Envío gratis
78
CALIDAD BUENA
VER EN AMAZON
Amazon.es
#7
Azure Data Engineering Essentials: A Hands-On Guide for Developers and Architects to Build Scalable Pipelines in the Cloud (Cloud Data Engineering Mastery Series) (English Edition)
78
CALIDAD BUENA
VER EN AMAZON
Amazon.es
#8
Packt Publishing
Machine Learning Engineering on AWS: Build, scale, and secure machine learning systems and MLOps pipelines in production
Envío gratis
70
CALIDAD BUENA
VER EN AMAZON
Amazon.es
#9
Sybex Inc.,U.S.
AWS Certified Data Engineer Study Guide: Associate (DEA-C01) Exam (Sybex Study Guide)
Envío gratis
65
CALIDAD BUENA
VER EN AMAZON
Amazon.es
#10
data engineering with python
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