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

Product typeBook

Published inOct 2023

PublisherPackt

ISBN-139781804614426

Edition2nd Edition

Concepts

Data Engineering

Author (1)

Gareth Eagar

Summary

In this chapter, you learned more about the Amazon QuickSight service, a BI tool that is used to create and share rich visualizations of data.

We discussed the power of visually representing data, and then explored core Amazon QuickSight concepts. We looked at how various data sources can be used with QuickSight, how data can optionally be imported into the SPICE storage engine, and how you can perform some data preparation tasks using QuickSight.

We then did a deeper dive into the concepts of analyses (where new visuals are authored) and dashboards (published analyses that can be shared with data consumers). As part of this, we also examined some of the common types of visualizations available in QuickSight.

We then looked at some of the advanced features available in QuickSight. This included ML Insights (which uses ML to detect outliers in data and forecast future data trends), QuickSight Q (which enables the use of natural language queries to create visualizations...

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Data Engineering with AWS - Second Edition

Published in: Oct 2023Publisher: PacktISBN-13: 9781804614426

Author (1)

Gareth Eagar

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.
Read more about Gareth Eagar

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