• 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 > Data Engineer Persona Demo
  • Use Cases

Data Engineer Persona Demo

Use Cases

The data engineer demo is divided into multiple use cases, choose the use cases which are most suitable for the customer and the personas you are targeting:

  1. ETL/ELT Strategies
  2. Streaming Data Ingestion
  3. Salesforce Data Ingestion using AppFlow
  4. Masking Sensitive Data with UDF
  5. Event Driven Web Application
  6. ETL Orchestration with Data API
  7. Pivot Operations
  8. Redshift Serverless TPC-DS
  9. Loading & querying semi-structured data
  10. Elastic Views
  11. Multi AZ for RA3 clusters
  12. Redshift Apache Spark Integration
  13. Redshift Streaming Ingestion
  14. Migration Demos:
    1. Oracle Migration
    2. Postgres Migration
    3. SQL Server Migration
    4. Teradata Migration
    5. MySQL Server Migration
    6. Greenplum Migration
    7. Netezza Migration