Learning Amazon Web Services (AWS) QuickSight

Introduction

• Understand your data with QuickSight
• What you should know

1. Getting Started with AWS QuickSight

• Introducing Amazon Web Services (AWS) and QuickSight
• Comparing cloud vs. desktop applications
• Introducing visual components

2. Extracting Data

• 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

3. Transforming Data

• Renaming fields
• Removing fields
• Changing data types
• Filtering rows
• Creating calculated fields
• Adding conditional fields
• Setting up geospatial grouping
• Challenge: Transforming data
• Solution: Transforming data

4. Loading Data

• Creating data sets
• Refreshing data
• Sharing data sets
• Joining tables
• Deleting data sets

5. Creating Visualizations

• 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

6. Configuring Dashboards

• 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

7. Sharing Your Analysis

• Navigating dashboard of visualizations
• Emailing reports
• Viewing on a mobile device
• Exporting reports and data
• Setting up anomaly alerts
• Embedding dashboards

Conclusion

• Next steps for understanding your data