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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.
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Data Warehouse Automation
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• Model Automation• Rules based approach to design
• Input: source model
• Output: target model
• Development Automation• Meta data driven development
• Code generation
• Table / Indexes
• Documentation
Data Warehouse Automation
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Showing:Reverse engineerProfileTest dataDerive
Not :Documentation3D-RED Integration
Demonstration 3D
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A data warehouse automation IDEdevelop, 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
WhereScape RED
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DW development Automation
Built in management
framework
Best Practices
Consistency
Documentation
Leverage skills
Fast development speed
Metadata
Scheduler Low cost of change
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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:
a. Data driven design
b. Model driven design
An Agile platform
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Agile Processing Architecture
Sales
Financials
LDD
JMS
Assets
Sources Foundation Data Marts
A-TV-DS
Data xforms Business xforms
AgileStatic
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Showing:Build a data mart from scratchDocumentationWorkflowOLAP Cubes
Not :ComplexityMulti-step operationsData volumes
(there’s just not enough time)
Demonstration RED