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Metadata Driven Statistical Data Warehouse System at the Hungarian Central Statistical Office

Metadata Driven Statistical Data Warehouse System at the Hungarian Central Statistical Office. Imre Pap Senior IT Advisor Hungarian Central Statistical Office. META. THE DW STRUCTURE. DISSEMINATION db . Oracle EXPRESS multidimensional. Web browser. Meta Database. Subject Matters.

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Metadata Driven Statistical Data Warehouse System at the Hungarian Central Statistical Office

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  1. Metadata Driven Statistical Data Warehouse Systemat the Hungarian Central Statistical Office Imre Pap Senior IT Advisor Hungarian Central Statistical Office

  2. META THE DW STRUCTURE DISSEMINATION db. Oracle EXPRESS multidimensional Web browser Meta Database Subject Matters DATA WAREHOUSE for HCSO users Oracle EXPRESS multidimensional db. Oracle relational tables with specially Aggregated data Consistent Dataviews STATINFO Indicators Oracle Discoverer Elementary Data Dimensions, Nomenclatures, Hierarchies PRODUCTION DATABASE SAS -, Cobol datasets, Oracle none standard tables Data, Ready for Use ORACLE RDBMS Standard Tables Aggregated Stat. Terms, Concepts Elementary Description of Surveys Data in Processing files on PC-s

  3. Data Warehouse Applications Data Warehouse MDB CRE MDB-s DATA LOADER STAT-INFO RDBMS DW META META Users: Statisticians IT Staff META

  4. Advantages Less highly qualified expertise Less mistakes Faster development Unified solution Fully described data Data & meta data in the same time Problems The meta data system becomes complicate Good meta data checking Distributed meta data collection (co-ordination or workflow needed) Not so easy to develop a meta data driven system Conclusions of the Meta Data Driven Systems’ Usage

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