A datawarehouse can have the best dimensional data model, a best-of-breed business-intelligence tool, and sponsorship fromthe highest executives. But it is not a proven solution until it is considered a dependable source for corporate analytical information.
The goal of a new data warehouse is to build a reputation for being a consistent, reliable data source to support corporate data analysis to empower the business. To be a success, the ETL and the data warehouse teams must fulfill three key criteria:
The ETL manager must appraise each phase of the data warehouse by using the Reliability,Availability, and Manageability (RAM) criteria to score the project. The jobs and scheduling approach must pass each of the three criteria to get a perfect score and earn the right to deploy. If no metadata or recovery documentation exists, points are deducted and the processes must be revisited and enhanced or corrected. Jobs that are overly complex making them virtually impossible to maintain must be streamlined to progress to the next stage of the lifecycle. Each deployment of the data warehouse must achieve a perfect RAM score before it is rolled into production.
Data Warehouse ETL Toolkit Related Interview Questions
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Data Warehouse Etl Toolkit Tutorial
Surrounding The Requirements
Etl Data Structures
Cleaning And Conforming
Delivering Dimension Tables
Delivering Fact Tables
Real-time Etl Systems
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