توضیحات
Written by Joe Reis and Matt Housley, Fundamentals of Data Engineering provides a comprehensive guide to creating robust, scalable, and efficient data systems. The book covers the entire lifecycle of data engineering, including data pipelines, storage solutions, data modeling, orchestration, and governance.
Readers learn how to design systems that handle large volumes of structured and unstructured data while ensuring quality, reliability, and performance. The authors explain key technologies and platforms used in modern data engineering, including ETL/ELT processes, cloud services, databases, streaming architectures, and workflow orchestration tools.
With practical examples and best practices, the book equips professionals and students in computer science, data science, and IT engineering to plan, build, and manage data infrastructures capable of supporting analytics, machine learning, and real-time applications.
نقد و بررسیها
هنوز بررسیای ثبت نشده است.