Can I read Data Engineering with AWS : learn how to design and build cloud-based data transformation pipelines using AWS on EtoBox?

Data Engineering with AWS : learn how to design and build cloud-based data transformation pipelines using AWS by Gareth Eagar is a nonfiction available to read on EtoBox.

What is Data Engineering with AWS : learn how to design and build cloud-based data transformation pipelines using AWS about?

The missing expert-led manual for the AWS ecosystem - go from foundations to building data engineering pipelines effortlessly Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features: Learn about common data architectures and modern approaches to generating value from big data Explore AWS tools for ingesting, transforming, and consuming data, and for orchestrating pipelines Learn how to architect and implement data lakes and data lakehouses for big data analytics Book Description: Knowing how to architect and implement complex data pipelines is a highly sought-after skill. Data engineers are responsible for building these pipelines that ingest, transform, and join raw datasets - creating new value from the data in the process. Amazon Web Services (AWS) offers a range of tools to simplify a data engineer's job, making it the preferred platform for performing data engineering tasks. This book will take you through the services and the skills you need to architect and implement data pipelines on AWS. You'll begin by reviewing important data engineering concepts and some of the core AWS services that form a part of the data engineer's toolkit

Who reads Data Engineering with AWS : learn how to design and build cloud-based data transformation pipelines using AWS?

Author

Gareth Eagar

Publisher

Packt Publishing, Limited

Published

2021

Language

EN

ISBN

9781800560413

Category

nonfiction

Subjects

Computer Science, Mathematics, Stem

Rating

4.4 / 5 (77 ratings)

Updated

2026-03-14