Actionable Insights with Amazon QuickSight : Develop Stunning Data Visualizations and Machine Learning-Driven Insights with Amazon QuickSight.

Build interactive dashboards and storytelling reports at scale with the cloud-native BI tool that integrates embedded analytics and ML-powered insights effortlessly Key Features Explore Amazon QuickSight, manage data sources, and build and share dashboards Learn best practices from an AWS certified...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Samatas, Manos
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, Limited, 2021.
Temas:
Cloud computing.
Business intelligence.
Information visualization.
Machine learning.
Infonuagique.
Visualisation de l'information.
Apprentissage automatique.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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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