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Actionable Insights with Amazon QuickSight Develop Stunning Data Visualizations and Machine Learning-Driven Insights with Amazon QuickSight
Author
Title
Actionable Insights with Amazon QuickSight [electronic resource] : Develop Stunning Data Visualizations and Machine Learning-Driven Insights with Amazon QuickSight.
ISBN
9781801072007
1801072000
9781801079297 (pbk.)
Published
Birmingham : Packt Publishing, Limited, 2021.
Physical Description
1 online resource (242 p.)
Local Notes
Access is available to the Yale community.
Notes
Description based upon print version of record.
Access and use
Access restricted by licensing agreement.
Variant and related titles
O'Reilly Safari. OCLC KB.
Other formats
Print version: Samatas, Manos Actionable Insights with Amazon QuickSight Birmingham : Packt Publishing, Limited,c2021
Format
Books / Online
Language
English
Added to Catalog
March 29, 2022
Contents
Cover
Copyright
Contributors
Table of Contents
Preface
Section 1: Introduction to Amazon QuickSight and the AWS Analytics Ecosystem
Chapter 1: Introducing the AWS Analytics Ecosystem
Technical requirements
Discovering the AWS analytics ecosystem
Business intelligence
Data warehousing
Data lake storage and governance
Ad hoc analytics
Extract, transform, load
Exploring the modern data architecture on AWS
Data lakes versus data warehouses
modern data architecture on AWS
Creating a basic modern data architecture
Creating the data lake storage
Summary
Questions
Further reading
Chapter 2: Introduction to Amazon QuickSight
Technical requirements
Introducing Amazon QuickSight
Datasets
Analysis
Visuals and insights
Dashboards
Introducing Amazon QuickSight user types
Introducing QuickSight architecture
Introducing QuickSight editions and user authorization options
QuickSight editions
User authorization with QuickSight
Setting up Amazon QuickSight
Summary
Questions
Further reading
Chapter 3: Preparing Data with Amazon QuickSight
Technical requirements
Adding QuickSight data sources
Supported data sources with QuickSight
Configuring our first data source
Editing datasets
Importing into SPICE
Editing column names and data types
Working with advanced operations
Adding calculated fields
Filtering and joining datasets
Configuring security controls
Summary
Q&A
Further reading
Chapter 4: Developing Visuals and Dashboards
Technical requirements
Working with QuickSight visuals
Creating an analysis
Supported visual types
Publishing dashboards
Customizing the look and feel of the application
Applying themes
Formatting visuals
Summary
Q&A
Further reading
Section 2: Advanced Dashboarding and Insights
Chapter 5: Building Interactive Dashboards
Technical requirements
Using filters and parameters
Working with filters
Working with parameters
Working with actions
Working with filter actions
Working with navigation actions
Working with URL actions
Summary
Q&A
Further reading
Chapter 6: Working with ML Capabilities and Insights
Technical requirements
Using forecasting
Adding forecasting
Working with what-if scenarios
Working with insights
Adding suggested insights
Creating and editing an insight
Working with ML insights
Working with forecasting insights
Working with anomaly detection insights
Summary
Questions
Further reading
Chapter 7: Understanding Embedded Analytics
Technical requirements
Introducing QuickSight embedded analytics
Understanding the business drivers for embedding
Understanding embedded analytics types
Understanding read-only dashboard embedding
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Genre/Form
Electronic books.
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