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Introduction to
Data Warehouse
Automation
Overview of Data Warehouse
Development
Temporary
Location
Extract
Data
Warehous
e
Data Sources
“ELT” / “ETL”
Transform
Integrate
Cleanse
Load
Problems with Traditional Data
Warehouse Development
Wrong Solution
Don’t build a data warehouse
because
data warehouses are bad
Correct Solution
Use Evolutionary Analytics Development
and
Data Warehouse Automation
Evolutionary Data Warehouse
Development
Identify
priorities and
requirements
Rapid
prototyping
Review and
receive
feedback
Problem:
Not possible with traditional data
warehouse development methodologies
Solution:
Use DataWarehouseAutomation
Data Warehouse Automation
Rapid data warehouse
delivery with agile
changes
Dramatically reduced
development costs
Consistent high quality
code and automated
documentation
Choice of data
warehouse platform
Metadata export to
analytics tools
Significant ROI
minerrabi minerra minerrabi
www.minerra.net

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Introduction to Data Warehouse Automation