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  • Tag: data engineering

Books — data engineering

EN
Data Engineering for Machine Learning Pipelines: From Python Libraries to ML Pipelines and Cloud Platforms

Data Engineering for Machine Learning Pipelines: From Python Libraries to ML Pipelines and Cloud Platforms

A

Pavan Kumar Narayanan

AI and ML
RU
Solutions Architect’s Handbook: IT Solution Architecture and Design, 3rd Edition

Solutions Architect’s Handbook: IT Solution Architecture and Design, 3rd Edition

A

Саурабх Шривастава, Ниланджали Шривастав

Software Development
RU
Data Pipelines. Pocket Guide

Data Pipelines. Pocket Guide

A

Джеймс Денсмор

AI and ML
EN
Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud

Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud

A

Marco Tranquillin, Valliappa Lakshmanan, Firat Tekiner

AI and ML
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 and Infrastructure
EN
Data Wrangling on AWS: Clean and organize complex data for analysis

Data Wrangling on AWS: Clean and organize complex data for analysis

A

Navnit Shukla, Sankar M, Sam Palani

AI and ML
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

AI and ML
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

AI and ML
RU
Methods and Technologies for Big Data Processing

Methods and Technologies for Big Data Processing

A

М.М. Железнов

AI and ML
RU
Kafka Streams and ksqlDB: Real-Time Data

Kafka Streams and ksqlDB: Real-Time Data

A

Митч Сеймур

DevOps and Infrastructure
RU
Fundamentals of Data Engineering

Fundamentals of Data Engineering

A

Джо Рис, Мэтт Хоусли

Algorithms and theory
RU
Big Data Processing with Apache Spark

Big Data Processing with Apache Spark

A

Н. А. Бутаков, М. В. Петров, Д. Насонов

AI and ML
EN
MongoDB for Jobseekers: Reach new heights in your career with MongoDB

MongoDB for Jobseekers: Reach new heights in your career with MongoDB

A

Justin Jenkins

Databases
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

AI and ML
EN
Data Wrangling with SQL: A hands-on guide to manipulating, wrangling, and engineering data using SQL

Data Wrangling with SQL: A hands-on guide to manipulating, wrangling, and engineering data using SQL

A

Raghav Kandarpa, Shivangi Saxena

AI and ML
EN
The Cloud Data Lake: A Guide to Building Robust Cloud Data Architecture

The Cloud Data Lake: A Guide to Building Robust Cloud Data Architecture

A

Rukmani Gopalan

AI and ML
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

AI and ML
EN
Databricks Data Intelligence Platform: Unlocking the GenAI Revolution

Databricks Data Intelligence Platform: Unlocking the GenAI Revolution

A

Nikhil Gupta, Jason Yip

AI and ML
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 and 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 and ML
RU
Apache Airflow and Data Processing Pipelines

Apache Airflow and Data Processing Pipelines

A

Бас Харенслак, Джулиан де Руйтер

AI and ML
EN
Streaming Data Mesh: A Model for Optimizing Real-Time Data Services

Streaming Data Mesh: A Model for Optimizing Real-Time Data Services

A

Hubert Dulay, Stephen Mooney

AI and 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 and ML
RU
Data Engineering in Python: Fundamentals of Data Analysis with Pandas, NumPy, and Scikit-learn

Data Engineering in Python: Fundamentals of Data Analysis with Pandas, NumPy, and Scikit-learn

A

А. Ю. Гинько (переводчик)

AI and ML
EN
Big Data on Kubernetes: A Practical Guide to Building Efficient and Scalable Data Solutions

Big Data on Kubernetes: A Practical Guide to Building Efficient and Scalable Data Solutions

A

Нейлсон Крепальде

DevOps and Infrastructure
EN
MongoDB for Job Seekers: Reach New Career Heights with MongoDB

MongoDB for Job Seekers: Reach New Career Heights with MongoDB

A

Джастин Дженкинс

Databases
RU
Streaming Databases. Unifying Batch and Stream Processing

Streaming Databases. Unifying Batch and Stream Processing

A

Хьюберт Дюлей, Ральф М. Дебусманн

Databases