Preparing your Demo
SQL Client Tool Considerations
SSO Setup Considerations
SageMaker Considerations
SageMaker Studio Considerations
Event Engine Considerations
BI Tool Considerations
Storyline
Data Analyst Persona Demo
Self-Service analytics using Serverless
Working with the Data Lake
BI Tool Integration
Geospatial analysis
Dynamic Data Masking
Querying operational data within DW
New Feature Demo - ALF-DataSharing
Share a Data Warehouse
OLAP Constructs - ROLLUP, CUBE, and GROUPING SETS
Data Engineer Persona Demo
ETL/ELT Strategies
Streaming Data Ingestion
Amazon Redshift Multi-AZ(Preview)
Redshift Integrations with Apache Spark
Salesforce Data Ingestion using Appflow
Masking Sensitive Data with UDF
Event Driven Web Application
ETL Orchestration with Data API
Streaming Data Ingestion- Redshift Streaming Ingestion
Pivot Operations
Redshift Serverless TPC-DS
Loading & querying semi-structured data
Elastic Views
Oracle Migration
Postgres Migration
SQL Server Migration
Teradata Migration
MySQL Server Migration
Greenplum Migration
Netezza Migration
DBA Persona Demo
Create a Data Warehouse
Scale a Data Warehouse
Manage workloads with Auto WLM
Data Scientist Persona Demo
Machine Learning in Redshift SQL
Machine Learning - BYOM to Redshift ML
Machine Learning in Redshift SQL using XGBoost with SageMaker Notebook
Prepare Data For Machine Learning Using Amazon Sagemaker Data Wrangler
Sales forecasting using Python
Sales forecasting using Python in Sagemaker Studio
Energy forecasting using SageMaker
InfoSec Engineer Persona Demo
Lakehouse fine-grained access control
Federation using AD
Federation using PingOne
Federation with Okta
POC Lead Persona Demo
RA3 Adoption using Simple Replay
Redshift Configuration Comparison
Data Quality Engineer Persona Demo
Data Profiling with Data Brew
Useful resources
FAQ
SQL Notebook Repository
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Redshift: How to build a successful demo for your customers
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