Strategies for Landing an Oracle DBA Job as a Fresher
Warehouse components
1. The Basic Structure Extract Source Data Extract Storage: flat files (fastest); RDBMS; other Processing: clean; prune; combine; remove duplication standardize conform dimensions store awaiting replication export to data marts No user query services Data Staging Area Data Mart #1 OLAP (ROLAP, MOLAP,HOLAP) dimensional access subject oriented user group driven refresh frequency conforms to the Bus Data Mart #2 Data Mart #3 Populate, replicate, recover DW Bus DW Bus Corporate View
2. The Basic Structure Data Mart #1 OLAP (ROLAP, MOLAP,HOLAP) dimensional access subject oriented user group driven refresh frequency conforms to the Bus Data Mart #2 Data Mart #3 DW Bus DW Bus Corporate Staging Area User Access Ad Hoc Query Tools Reporting Tools and Writers Customized Applications Models: forecasting; scoring; allocating; data mining; scenario analysis; etc. Data Feed Data Feed Data Feed
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13. The Business Dimensional Lifecycle Project Planning Business Requirement Definition Deployment Maintenance and Growth Project Management Dimensional Modeling Physical Design Data Staging Design & Development Technical Architecture Design Product Selection & Installation End-User Application Specification End-User Application Development
81. The Monster Dimension Customer_Key name address city, state birth_date date_first_purchase income number_children education total_purchases credit_score Customer_Key name address city,state birth_date date_first_purchase Demographics_Key income_band number_children education_level total_purchases_band credit_group Basically constant May change with each purchase Bands used to minimize possibilities Example 1
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86. The Monster Dimension Employee Table name address date_of_birth social_security_num … title years_with_company income division purchase_level Example 2 Employee Table name address date_of_birth social_security_num Corporate Demographics position_grade income_band division service_years_band
