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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing, Limited,
2021.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 245 | 1 | 0 | |a Actionable Insights with Amazon QuickSight : |b Develop Stunning Data Visualizations and Machine Learning-Driven Insights with Amazon QuickSight. |
| 260 | |a Birmingham : |b Packt Publishing, Limited, |c 2021. | ||
| 300 | |a 1 online resource (242 pages) | ||
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| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 520 | |a 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 big data solutions architect Manage and monitor dashboards using the QuickSight API and other AWS services such as Amazon CloudTrail Book DescriptionAmazon Quicksight is an exciting new visualization that rivals PowerBI and Tableau, bringing several exciting features to the table – but sadly, there aren’t many resources out there that can help you learn the ropes. This book seeks to remedy that with the help of an AWS-certified expert who will help you leverage its full capabilities. After learning QuickSight’s fundamental concepts and how to configure data sources, you’ll be introduced to the main analysis-building functionality of QuickSight to develop visuals and dashboards, and explore how to develop and share interactive dashboards with parameters and on-screen controls. You’ll dive into advanced filtering options with URL actions before learning how to set up alerts and scheduled reports. Next, you’ll familiarize yourself with the types of insights before getting to grips with adding ML insights such as forecasting capabilities, analyzing time series data, adding narratives, and outlier detection to your dashboards. You’ll also explore patterns to automate operations and look closer into the API actions that allow us to control settings. Finally, you’ll learn advanced topics such as embedded dashboards and multitenancy. By the end of this book, you’ll be well-versed with QuickSight’s BI and analytics functionalities that will help you create BI apps with ML capabilities. What you will learn Understand the wider AWS analytics ecosystem and how QuickSight fits within it Set up and configure data sources with Amazon QuickSight Include custom controls and add interactivity to your BI application using parameters Add ML insights such as forecasting, anomaly detection, and narratives Explore patterns to automate operations using QuickSight APIs Create interactive dashboards and storytelling with Amazon QuickSight Design an embedded multi-tenant analytics architecture Focus on data permissions and how to manage Amazon QuickSight operations Who this book is for This book is for business intelligence (BI) developers and data analysts who are looking to create interactive dashboards using data from Lake House on AWS with Amazon QuickSight. It will also be useful for anyone who wants to learn Amazon QuickSight in depth using practical, up-to-date examples. You will need to be familiar with general data visualization concepts before you get started with this book, however, no prior experience with Amazon QuickSight is required. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Cloud computing. | |
| 650 | 0 | |a Business intelligence. | |
| 650 | 0 | |a Information visualization. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 6 | |a Infonuagique. | |
| 650 | 6 | |a Visualisation de l'information. | |
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| 776 | 0 | 8 | |i Print version: |a Samatas, Manos. |t Actionable Insights with Amazon QuickSight. |d Birmingham : Packt Publishing, Limited, ©2021 |
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