Data Engineering books

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Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
Muneeb Shaikh , 2024
Gianluigi Mucciolo , 2024
Gianluigi Mucciolo , 2024
Gianluigi Mucciolo , 2024
Gianluigi Mucciolo , 2024
Gianluigi Mucciolo , 2024
Gianluigi Mucciolo , 2024
Gianluigi Mucciolo , 2024
Mike Shakhomirov , 2023
Robert Koch and Shane Smith-Sahnow , 2022
(3)
Vlad Riscutia , 2021
Mike Shakhomirov , 2021
(7)
Bas P. Harenslak and Julian Rutger de Ruiter , 2021
(2)
Danil Zburivsky and Lynda Partner , 2021
(4)
Richard L. Nuckolls , 2020
(5)
John T. Wolohan , 2020
(1)
Petar Zečević and Marko Bonaći , 2016
1
Master the art of modern data engineering with comprehensive resources covering cloud-native data platforms, ETL pipelines, and scalable data processing solutions. Learn to architect robust data infrastructures using leading cloud providers like AWS and Azure, implement efficient data warehousing strategies, and leverage powerful tools such as Apache Airflow and Kafka for seamless data orchestration. Discover best practices for continuous deployment, serverless architectures, and real-time analytics while ensuring data quality and reliability throughout your data lifecycle. Whether you're building event-driven pipelines, managing large-scale datasets, or optimizing cloud storage solutions, gain the expertise to design and maintain sophisticated data engineering systems that drive business value. For a more detailed breakdown, take a look at the following categories: Big Data Processing books Data Pipelines books