Data Engineering with AWS
This book will help you on your journey toward architecting and building data engineering pipelines on AWS. You'll learn about (and get hands-on with) AWS services for ingesting, transforming, and consuming data. Whether you're new to data engineering or just new to data engineering on AWS, this book will be an invaluable guide.
Offered by
Difficulty Level
Intermediate
Completion Time
16h4m
Language
English
About Book
Who Is This Book For?
This book is for data engineers, data analysts, and data architects who are new to AWS and looking to extend their skills to the AWS cloud. Anyone new to data engineering who wants to learn about the foundational concepts while gaining practical experience with common data engineering services on AWS will also find this book useful. A basic understanding of big data-related topics and Python coding will help you get the most out of this book but it’s not a prerequisite. Familiarity with the AWS console and core services will also help you follow along.
Data Engineering with AWS
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 16h4m total length
An Introduction to Data Engineering
Data Management Architectures for Analytics
The AWS Data Engineer's Toolkit
Data Cataloging, Security and Governance
Architecting Data Engineering Pipelines
Ingesting Batch and Streaming Data
Transforming Data to Optimize for Analytics
Identifying and Enabling Data Consumers
Loading Data into a Data Mart
Orchestrating the Data Pipeline
Ad Hoc Queries with Amazon Athena
Visualizing Data with Amazon QuickSight
Enabling Artificial Intelligence and Machine Learning
Wrapping Up the First Part of Your Learning Journey
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