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Data Engineering with AWS - Second Edition

You're reading from  Data Engineering with AWS - Second Edition

Product type Book
Published in Oct 2023
Publisher Packt
ISBN-13 9781804614426
Pages 636 pages
Edition 2nd Edition
Languages
Concepts
Author (1):
Gareth Eagar Gareth Eagar
Profile icon Gareth Eagar
LinkedIn
Gareth Eagar has over 25 years of experience in the IT industry, starting in South Africa, working in the United Kingdom for a while, and now based in the USA. Having worked at AWS since 2017, Gareth has broad experience with a variety of AWS services, and deep expertise around building data platforms on AWS. While Gareth currently works as a Solutions Architect, he has also worked in AWS Professional Services, helping architect and implement data platforms for global customers. Gareth frequently speaks on data related topics.
See other products by Gareth Eagar

Table of Contents (24) Chapters

Preface Section 1: AWS Data Engineering Concepts and Trends
An Introduction to Data Engineering Data Management Architectures for Analytics The AWS Data Engineer’s Toolkit Data Governance, Security, and Cataloging Section 2: Architecting and Implementing Data Engineering Pipelines and Transformations
Architecting Data Engineering Pipelines Ingesting Batch and Streaming Data Transforming Data to Optimize for Analytics Identifying and Enabling Data Consumers A Deeper Dive into Data Marts and Amazon Redshift Orchestrating the Data Pipeline Section 3: The Bigger Picture: Data Analytics, Data Visualization, and Machine Learning
Ad Hoc Queries with Amazon Athena Visualizing Data with Amazon QuickSight Enabling Artificial Intelligence and Machine Learning Section 4: Modern Strategies: Open Table Formats, Data Mesh, DataOps, and Preparing for the Real World
Building Transactional Data Lakes Implementing a Data Mesh Strategy Building a Modern Data Platform on AWS Wrapping Up the First Part of Your Learning Journey Other Books You May Enjoy
Index

Understanding QuickSight’s advanced features

The Enterprise edition of Amazon QuickSight includes advanced features that can help you draw out additional insights from your data, ask questions of your data using natural language, and enable you to widely share your data by embedding dashboards into applications. We will review some of these features next.

Amazon QuickSight ML Insights

QuickSight ML Insights uses the power of ML algorithms to automatically uncover insights and trends, forecast future data points, and identify anomalies in your data.

All of these ML Insights functionalities can easily be added to an analysis/dashboard without the author needing to have any ML experience or any real understanding of the underlying ML algorithms. However, for those who are interested in the underlying ML algorithms used by QuickSight, Amazon provides comprehensive documentation on this topic.

Review the Amazon QuickSight documentation titled Understanding the...

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Authors (1)

Profile icon Gareth Eagar
LinkedIn
Gareth Eagar has over 25 years of experience in the IT industry, starting in South Africa, working in the United Kingdom for a while, and now based in the USA. Having worked at AWS since 2017, Gareth has broad experience with a variety of AWS services, and deep expertise around building data platforms on AWS. While Gareth currently works as a Solutions Architect, he has also worked in AWS Professional Services, helping architect and implement data platforms for global customers. Gareth frequently speaks on data related topics.
See other products by Gareth Eagar

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