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