WhereScape RED is a comprehensive data automation platform designed to simplify the process of building, deploying, and managing data warehouses and data lakes. It is primarily used by data engineers, architects, and developers to automate repetitive tasks associated with data warehousing and data integration. The platform is focused on accelerating the delivery of data solutions by providing powerful automation capabilities, reducing manual work, and ensuring consistency across environments.

1. Introduction to WhereScape RED

• Overview of WhereScape RED: Learn what WhereScape RED is and how it simplifies the process of building and managing data warehouses and data lakes.
• Key Features and Components: Understand the core features, such as automation, data modeling, and ETL workflows.
• Platform Architecture: Understand the components of the WhereScape RED architecture, including data models, metadata, and job execution.

2. Getting Started with WhereScape RED

• Installing and Configuring WhereScape RED: Set up the platform and connect to various databases and data sources (e.g., SQL Server, AWS, Snowflake).
• Navigating the Interface: Learn how to navigate the WhereScape RED user interface and explore the main sections, including Data Warehouse Automation, Data Modeling, and ETL Development.
• Creating Projects and Workspaces: Set up and organize projects and workspaces for efficient project management.

3. Data Modeling

• Data Warehouse Modeling Concepts: Learn about logical and physical models, star schema, snowflake schema, and data marts.
• Building Data Models: Understand how to define tables, relationships, and dimensions within WhereScape RED’s data model.
• Auto-Generation of Physical Data Structures: Learn how to generate physical data structures (tables, views, indexes) from logical models automatically.
• Data Lineage and Documentation: Learn how to track the lineage of data and generate documentation for your data models.

4. ETL (Extract, Transform, Load) Automation

• Overview of ETL Processes in WhereScape RED: Learn the principles of ETL and how WhereScape RED automates the process.
• Creating and Configuring ETL Jobs: Understand how to create ETL jobs and transformations to load data from source systems into the data warehouse.
• Managing Transformations: Learn to define transformations, apply business logic, and use templates for common transformation tasks.
• Scheduling ETL Jobs: Understand how to schedule, execute, and monitor ETL jobs within the platform.

5. Deployment and Version Control

• Managing Multiple Environments: Learn how to manage different environments (development, staging, production) using WhereScape RED.
• Version Control in WhereScape RED: Understand how to use version control to manage changes to data models and ETL processes, track revisions, and maintain consistency across environments.
• Deploying Data Solutions: Learn the steps for deploying data solutions from development to production, ensuring smooth migrations with minimal disruptions.
• Rollback and Recovery: Understand how to roll back changes and recover previous versions of models and ETL jobs.

6. Performance Optimization and Tuning

• Optimizing ETL Jobs: Learn techniques for optimizing the performance of ETL processes, such as indexing, parallel processing, and optimizing transformations.
• Query Optimization: Understand how to optimize SQL queries generated by WhereScape RED for better performance.
• Resource Management: Learn how to manage resources and control system load during large ETL jobs and data transformations.

7. Monitoring, Maintenance, and Troubleshooting

• Monitoring Jobs and Processes: Learn how to monitor the status of ETL jobs, data pipelines, and transformations within WhereScape RED.
• Handling Failures and Alerts: Set up alerts for job failures and performance issues, and learn how to troubleshoot common issues.
• Log Management: Understand how to view and manage logs to diagnose issues and identify performance bottlenecks.
• Job Scheduling and Dependency Management: Learn how to manage complex dependencies between ETL jobs and ensure jobs are executed in the correct order.

8. Advanced Features

• Custom Macros and Functions: Learn how to create and use custom macros and functions for advanced transformations and automation.
• Third-Party Integration: Explore how to integrate WhereScape RED with other tools (e.g., BI tools, third-party data sources, cloud platforms).
• Using APIs: Learn how to extend WhereScape RED’s capabilities using APIs for external integrations and automation.
• Data Quality and Governance: Understand how WhereScape RED supports data quality checks, governance, and security best practices.

9. Real-World Use Cases and Best Practices

• Case Studies: Study real-world use cases of WhereScape RED in various industries (e.g., finance, healthcare, retail).
• Design Best Practices: Learn best practices for designing efficient, scalable, and maintainable data solutions using WhereScape RED.
• Data Warehouse Design and Architecture: Explore advanced concepts in data warehouse architecture, such as data lakes, cloud migrations, and hybrid data architectures.
• Agile Data Warehouse Development: Learn how to implement agile methodologies in data warehouse development with WhereScape RED.