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Data Warehouse Development Automation WhereScape RED. How data warehouse automation reduces the manual effort, time and cost of building and maintaining a data warehouse. Data Warehouse Automation. Data Warehouse Automation. Model Automation Rules based approach to design
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Data Warehouse Development Automation WhereScape RED How data warehouse automation reduces the manual effort, time and cost of building and maintaining a data warehouse.
Data Warehouse Automation • Model Automation • Rules based approach to design • Input: source model • Output: target model • Development Automation • Meta data driven development • Code generation • Table / Indexes • Documentation
Demonstration 3D • Showing: • Reverse engineer • Profile • Test data • Derive • Not : • Documentation • 3D-RED Integration
WhereScape RED A data warehouse automation IDE develop, refine, document, promote, operate, support and enhance • Results : • Saves time & money • Enables agile development • Iterations • Collaboration • Reduces risk • High quality development • Promotes in-house development • Lower TCO – manages complete lifecycle
DW development Automation Built in management framework Fast development speed Metadata Leverage skills Consistency Best Practices Documentation Scheduler Low cost of change
An Agile platform • Automation enables agile projects • Build deployable data marts (or parts) rapidly and get in front of users - Automation • data and requirements exploration • prototype and iterate • workshops • Design Approach – requires iterations: • Data driven design • Model driven design
Agile Processing Architecture Sales Data xforms Business xforms Financials A-TV-DS LDD JMS Assets Agile Static Sources Foundation Data Marts
Demonstration RED • Showing: • Build a data mart from scratch • Documentation • Workflow • OLAP Cubes • Not : • Complexity • Multi-step operations • Data volumes • (there’s just not enough time)
Questions • ? • douglas.barrett@wherescape.com