Authoring Visual Analytics Using Amazon QuickSight course material links

This document contains links mentioned in the “MLOps Engineering on AWS” course.

Module 0: Course Overview

Full name: Authoring Visual Analytics Using Amazon QuickSight

Product code: 300-DAQSAU-14

These links are based on the course version 1.4.2.

The official course material: eVantage Bookshelf (VitalSource)

Additional material: AWS Skill Builder

Module 1: Introduction and Overview of Amazon QuickSight

Websites

• QuickSight product page
• Transform data and create dashboards simply using AWS Glue DataBrew and Amazon QuickSight (blog post)
• Different editions of Amazon QuickSight
• QuickSight pricing
• QuickSight Community
• DemoCentral

Videos

• QuickSight Overview and Demo
• QuickSight Art of the Possible + Live Demo of Key Capabilities
• A QuickSight Beginner’s Guide to their Learning Journey: 2024 Amazon QuickSight Learning Series

Module 2: Getting started with Amazon QuickSight

Websites

• Supported data sources
• Creating datasets
• Creating a dataset using Amazon S3 files
• Visual types in Amazon QuickSight
• Embedding visuals and dashboards for registered users with a 1-click embed code
• Embedding with the QuickSight APIs
• Granting access to a dashboard
• Granting anyone on the internet access to an Amazon QuickSight dashboard
• Managing domains and embedding

Videos

• What’s New - Visualizations and Filters
• New features for Tables and Pivot table visuals
• Introduction to Embedded Analytics with Amazon QuickSight
• Visual Embedding
• Deep Dive on QuickSight Embedding Types
• Updates on SDK 2.0 and Embedded Runtime Theming

Module 3: Enhancing and adding interactivity to your dashboard

Websites

• Create stunning, pixel perfect dashboards with the new free-form layout mode in Amazon QuickSight (blog post)
• Adding interactivity to dashboards in Amazon QuickSight
• Using custom actions for filtering and navigating
• Enhancing dashboard interactivity with Amazon QuickSight Actions (blog post)

Videos

• So, What is Pixel Perfect Reporting?
• Back to Basics - Storytelling Best Practices

Module 4: Preparing datasets for analysis

Websites

• Refreshing SPICE data
• Adding filters
• Joining across data sources on Amazon QuickSight (blog)
• Visualize data using Apache Spark running on Amazon EMR with Amazon QuickSight (blog)
• Transform data and create dashboards simply using AWS Glue DataBrew and Amazon QuickSight (blog)
• Build an automatic data profiling and reporting solution with Amazon EMR, AWS Glue, and Amazon QuickSight (blog)
• AWS Glue DataBrew features page

Videos

• QuickSight Dataset Parameters

Module 5: Performing advanced data calculations

Websites

• Operators
• Functions
• Using level-aware calculations in Amazon QuickSight
• Create advanced insights using Level Aware Aggregations in Amazon QuickSight (blog)

Videos

• Who Did This? Track Code Recommendations With Amazon CodeWhisperer

Module 6: Restricting access to Amazon QuickSight datasets

Websites

• AWS security in Amazon QuickSight
• Managing access for QuickSight and IAM users
• Using row-level security (RLS) in Amazon QuickSight
• Using column-level security (CLS) to restrict access to a dataset
• Applying row-level and column-level security on Amazon QuickSight dashboards (blog)

Videos

• Data in your QuickSight Account
• IAM Identity Center Integration
• Embed Applications in QuickSight Using IAM Identity Center
• Running S3, Athena, and Redshift Queries with an IAM Role
• Trust Identity Propagation with Amazon Redshift

Module 7: Exloring machine learning capabilities

Websites

• Integrating Amazon SageMaker models with Amazon QuickSight
• Working with autonarrative computations
• Getting started with Amazon QuickSight Q
• Using Generative BI with Amazon Q in QuickSight

Videos

• Amazon Q in QuickSight for Business Users
• Deep Dive on Amazon Q in QuickSight
• Amazon Q Embedding in QuickSight
• Mastering Q Topics & Amazon Q in QuickSight Pricing