Overview
-
Learn how to use AWS QuickSight to monitor data, analyze trends, and create engaging visualizations and dashboards.
Syllabus
-
Introduction
- Understand your data with QuickSight
- What you should know
- Introducing Amazon Web Services (AWS) and QuickSight
- Comparing cloud vs. desktop applications
- Introducing visual components
- Overviewing supported data sources
- Leveraging super-fast, parallel, in-memory, calculation engine (SPICE)
- Connecting to files
- Connecting to AWS cloud services
- Connecting to corporate data sources
- Connecting to SaaS
- Understanding data source limitations and settings
- Challenge: Connecting to data
- Solution: Connecting to data
- Renaming fields
- Removing fields
- Filtering rows
- Changing data types
- Creating calculated fields
- Adding conditional fields
- Setting up geospatial grouping
- Challenge: Transforming data
- Solution: Transforming data
- Creating data sets
- Sharing data sets
- Refreshing data
- Joining tables
- Deleting data sets
- Creating visuals
- Exploring visualization options
- Aggregating measures
- Formatting visuals
- Sorting data logically
- Filtering visuals
- Adding color themes
- Leveraging conditional formatting
- Creating table calculations
- Challenge: Creating visualizations
- Solution: Creating visualizations
- Introducing visualization best practices
- Interacting between visualizations
- Drilling down into visuals
- Utilizing parameters
- Adding on-screen controls
- Creating stories
- Leveraging ML Insights
- Challenge: Configuring dashboards
- Solution: Configuring dashboards
- Navigating dashboard of visualizations
- Emailing reports
- Viewing on a mobile device
- Exporting reports and data
- Setting up anomaly alerts
- Embedding dashboards
- Next steps for understanding your data
