دانلود کتاب Actionable Insights with Amazon QuickSight: Develop stunning data visualizations and machine learning-driven insights with Amazon QuickSight

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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 Exploring the architecture and user authentication Overview of the web application layer Overview of the BI layer Understanding the authentication layer Putting everything together Generating an embedded dashboard URL Summary Q&A Further reading Section 3: Advanced Topics and Management Chapter 8: Understanding the QuickSight API Technical requirements Introducing the QuickSight API Accessing the QuickSight API Controlling resources using the QuickSight API Setting up a dataset using the CLI Editing account settings using the QuickSight API Reusing assets using the template API Building automation using the QuickSight API Summary Questions Further reading Chapter 9: Managing QuickSight Permissions and Usage Technical requirements Managing QuickSight permissions Using user groups Setting up custom permissions Integrating with Amazon Lake Formation Managing QuickSight usage Managing folders Creating reports and alerts Working with QuickSight threshold-based alerts Summary Questions Further reading Chapter 10: Multitenancy in Amazon QuickSight Technical requirements Introducing multitenancy using namespaces Understanding multitenancy Introducing QuickSight namespaces Setting up multitenancy Creating a namespace Using QuickSight namespaces Summary Questions Further reading Why subscribe? Other Books You May Enjoy Index