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AWS Data Warehouse - Build with Redshift and QuickSight
Introduction
Welcome (5:55)
Why build a data warehouse? (3:00)
End-to-End Analytics Processing on AWS (2:42)
Deploy Data Warehouse on Redshift (2:22)
Prerequisites and Sample Flow (0:55)
Summary (0:41)
Quiz
Redshift System Overview
Redshift Architecture Overview (2:55)
Performance - Columnar Data Storage (2:44)
Performance - Data Compression (1:58)
Performance - Massively Parellel Processing (1:58)
Summary (0:40)
Redshift System Overview Quiz
Cluster Management
Cluster Management Overview (0:50)
Database Review (1:16)
Lab: Launch Redshift Cluster (11:29)
Cluster Node Types (1:48)
Lab: Manage Cluster (3:11)
Cluster Summary (1:37)
Cluster Management Quiz
Monitoring and Logs
Monitoring and Logs Overview (0:48)
Lab: Cluster Monitoring (8:31)
Lab: Workload Management (5:02)
Lab: Auditing Logs (3:50)
Summary (0:58)
Monitoring and Logs Quiz
Data Operations
Data Operations Overview (0:30)
Design Database (3:50)
Load, Unload, Backup and Restore (3:29)
Summary
Data Operations Quiz
Analytics and Visualization
AWS QuickSight (1:58)
Lab: Analytics and Visualization (12:40)
Analytics and Visualization Quiz
Security
Security Overview (3:06)
Security Quiz
Conclusion
Congratulations! (2:00)
Bonus Section: Machine Learning and Data Prediction
AWS Machine Learning on AWS Redshift Data Part I (8:13)
AWS Machine Learning on AWS Redshift Data Part II (7:18)
Bonus Section: Redshift Spectrum
Spectrum Architecture Overview (3:15)
Key Components and Life of Query (3:27)
Lab: Query Data From Redshift Spectrum (8:57)
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Load, Unload, Backup and Restore
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