December 2021
Beginner to intermediate
482 pages
11h 27m
English
Overview
Discover how to effectively build and manage data engineering pipelines using AWS with "Data Engineering with AWS". In this hands-on book, you'll explore the foundational principles of data engineering, learn to architect data pipelines, and work with essential AWS services to process, transform, and analyze data.
What this Book will help me do
- Understand and implement modern data engineering pipelines with AWS services.
- Gain proficiency in automating data ingestion and transformation using Amazon tools.
- Perform efficient data queries and analysis leveraging Amazon Athena and Redshift.
- Create insightful data visualizations using Amazon QuickSight.
- Apply machine learning techniques to enhance data engineering processes.
Author(s)
None Eagar, a Senior Data Architect with over twenty-five years of experience, specializes in modern data architectures and cloud solutions. With a rich background in applying data engineering to real-world problems, None Eagar shares expertise in a clear and approachable way for readers.
Who is it for?
This book is perfect for data engineers and data architects aiming to grow their expertise in AWS-based solutions. It's also geared towards beginners in data engineering wanting to adopt the best practices. Those with a basic understanding of big data and cloud platforms will find it particularly valuable, but prior AWS experience is not required.
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