Книги — Data Engineering

EN
Azure Data Factory by Example: Practical Implementation for Data Engineers, Second Edition

Azure Data Factory by Example: Practical Implementation for Data Engineers, Second Edition

A

Richard Swinbank

DevOps и Инфраструктура
EN
Data Contracts: Developing Production-Grade Pipelines at Scale

Data Contracts: Developing Production-Grade Pipelines at Scale

A

Chad Sanderson, Mark Freeman, B.E. Schmidt

DevOps и Инфраструктура
EN
Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines

Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines

A

Barr Moses, Lior Gavish, Molly Vorwerck

DevOps и Инфраструктура
EN
Data Engineering Design Patterns: Recipes for Solving the Most Common Data Engineering Problems

Data Engineering Design Patterns: Recipes for Solving the Most Common Data Engineering Problems

A

Bartosz Konieczny

IT-менеджмент
RU
Основы инженерии данных

Основы инженерии данных

A

Джо Рис, Мэтт Хоусли

AI и ML
EN
Modern Data Architectures with Python: A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python

Modern Data Architectures with Python: A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python

A

Brian Lipp

Языки программирования
EN
Fundamentals of Data Observability: Implement Trustworthy End-to-End Data Solutions

Fundamentals of Data Observability: Implement Trustworthy End-to-End Data Solutions

A

Andy Petrella

DevOps и Инфраструктура
EN
Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

A

Joe Reis, Matt Housley

AI и ML
EN
Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python

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

A

Paul Crickard

AI и ML
EN
Hands-on Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing

Hands-on Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing

A

Alfonso Antolínez García

AI и ML