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INTRODUCTION
TO QUICKSIGHT
D ATA A N A LY T I C S A N D T E C H N O LO G Y T E A M
AGENDA
• AWS QuickSight Workflow
• Supported Data Sources
• Visual Types
• Filtering and sorting data in visual
• Sample Dashboard
• Resources
• Hands-on section
– Create a connection to a Redshift account
– Create a dataset
– Create an analysis
– Create a visual and data type manipulation
– Publish the dashboard
– Advanced features like conditional formatting, calculated fields, parameters and controls
– Share dashboard and schedule reports
SUPPORTED DATA SOURCES
VISUAL TYPES
USING FILTERS
SORTING DATA IN A VISUAL
A SAMPLE DASHBOARD
HANDS-ON: CREATE CONNECTION TO A REDSHIFT CLUSTER
• On the Amazon QuickSight start page, choose Datasets.
• On the Datasets page, choose New dataset.
• From the list of available sources choose Redshift (Manual connect).
• Data source name – name of your choice
• Connection type – Public network
• Database server – url for server connection
• Port – connection port number
• Database name – name of database you wish to establish connection
with
• Username – credential username
• Password – credential password
• Validate connection on filling all the details
• On successful validation Create data source
• The data source is created as shown below
HANDS-ON: CREATE A DATASET
Import table Custom SQL query
HANDS-ON: DATASET DETAILS AND OPTIONS
Name | Size | Import Status |Rows | Last
refreshed
• Refresh Now – to initiate an instant refresh
• Schedule refresh – plan a recurring refresh
• Delete data set – remove the dataset along with all related
analyses and dashboard
• Edit data set – make changes to the data set
• Duplicate data set – make a copy of the data set for some
other application/dashboard
• Share – provide access to this dataset to other members of
the group
• Create analysis – use this data set in a new analysis
• Column and Row level security – provide selective access
to data segments
HANDS-ON: SCHEDULE REFRESH
HANDS-ON: QUERY EDITOR
HANDS-ON: DATA MANIPULATION
Select fields
Rename fields
Change data type
HANDS-ON: CREATE AN ANALYSIS
HANDS-ON: CREATE A VISUAL
HANDS-ON: CONDITIONAL FORMATTING
HANDS-ON: CALCULATED FIELDS
HANDS-ON: PARAMETERS AND CONTROLS
HANDS-ON: PARAMETERS AND CONTROLS
HANDS-ON: PARAMETERS AND CONTROLS
HANDS-ON: PUBLISH DASHBOARD
HANDS-ON: SHARE DASHBOARD
RESOURCES
• Home Page https://us-east-1.quicksight.aws.amazon.com/sn/start
• Documentation https://docs.aws.amazon.com/quicksight/index.html
• Slack group - #quicksight-users https://amzn-
operations.slack.com/archives/C017WCBENKG
• Sample dataset

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Intro to QuickSight.pptx

  • 1. INTRODUCTION TO QUICKSIGHT D ATA A N A LY T I C S A N D T E C H N O LO G Y T E A M
  • 2. AGENDA • AWS QuickSight Workflow • Supported Data Sources • Visual Types • Filtering and sorting data in visual • Sample Dashboard • Resources • Hands-on section – Create a connection to a Redshift account – Create a dataset – Create an analysis – Create a visual and data type manipulation – Publish the dashboard – Advanced features like conditional formatting, calculated fields, parameters and controls – Share dashboard and schedule reports
  • 3.
  • 7. SORTING DATA IN A VISUAL
  • 9. HANDS-ON: CREATE CONNECTION TO A REDSHIFT CLUSTER • On the Amazon QuickSight start page, choose Datasets. • On the Datasets page, choose New dataset. • From the list of available sources choose Redshift (Manual connect). • Data source name – name of your choice • Connection type – Public network • Database server – url for server connection • Port – connection port number • Database name – name of database you wish to establish connection with • Username – credential username • Password – credential password • Validate connection on filling all the details • On successful validation Create data source • The data source is created as shown below
  • 10. HANDS-ON: CREATE A DATASET Import table Custom SQL query
  • 11. HANDS-ON: DATASET DETAILS AND OPTIONS Name | Size | Import Status |Rows | Last refreshed • Refresh Now – to initiate an instant refresh • Schedule refresh – plan a recurring refresh • Delete data set – remove the dataset along with all related analyses and dashboard • Edit data set – make changes to the data set • Duplicate data set – make a copy of the data set for some other application/dashboard • Share – provide access to this dataset to other members of the group • Create analysis – use this data set in a new analysis • Column and Row level security – provide selective access to data segments
  • 14. HANDS-ON: DATA MANIPULATION Select fields Rename fields Change data type
  • 24. RESOURCES • Home Page https://us-east-1.quicksight.aws.amazon.com/sn/start • Documentation https://docs.aws.amazon.com/quicksight/index.html • Slack group - #quicksight-users https://amzn- operations.slack.com/archives/C017WCBENKG • Sample dataset