Effective Business Intelligence with QuickSight
by Rajesh Nadipalli
Effective Business Intelligence with QuickSight
- Effective Business Intelligence with QuickSight
- Effective Business Intelligence with QuickSight
- Credits
- About the Author
- About the Reviewer
- www.PacktPub.com
- Customer Feedback
- Preface
- 1. A Quick Start to QuickSight
- Era of big data
- Current BI landscape
- Typical process to build visualizations
- Rise of cloud BI services
- Overview of QuickSight
- How is QuickSight different to other BI tools?
- High level BI solution architecture with QuickSight
- Getting started with QuickSight
- Building your first analysis under 60 seconds
- Summary
- 2. Exploring Any Data
- AWS big data ecosystem
- Supported data sources
- Supported data types
- Supported data sizes
- Use case review
- Permissions on AWS resources
- Loading text files to QuickSight
- Loading MySQL data to QuickSight using the AWS pipeline
- Loading Redshift data to QuickSight
- Loading data from Athena to QuickSight
- Loading data from Salesforce to QuickSight
- Editing existing datasets
- Summary
- 3. SPICE up Your Data
- 4. Intuitive Visualizations
- From data to visualization using QuickSight
- Building analyses from datasets
- Building effective visuals
- Deleting a visual
- Telling a story
- Sharing dashboards
- Deleting a dashboard
- Summary
- 5. Secure Your Environment
- 6. QuickSight Mobile
- 7. Big Data Analytics Mini Project
- Overview of AWS Data Lake solution
- AWS Data Lake architecture
- A mini project on AWS Data Lake
- Additional data lake features
- Summary
- 8. QuickSight Product Shortcomings
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