Metadata Driven Statistical Data Warehouse System

at the Hungarian Central Statistical Office

Imre Pap

Senior IT Advisor

Hungarian Central Statistical Office

DATA WAREHOUSE for HCSO users

PRODUCTION DATABASE

Data in Processing

Data, Ready for Use

Elementary

AggregatedORACLE RDBMSStandardTables

SAS -, Cobol datasets,

Oracle none standardtables

files on PC-s

Elementary Data

Oracle relational tables with specially

Aggregated data

Oracle EXPRESS multidimensional

db.

DISSEMINATION db. Oracle EXPRESS multidimensional

Web browser

STATINFO

Oracle Discoverer

META

Subject Matters

Consistent Dataviews

Indicators

Dimensions,Nomenclatures,Hierarchies

Stat. Terms,

ConceptsDescription of Surveys

Meta Database

THE DW STRUCTURE

Data Warehouse ApplicationsData Warehouse Applications

STAT-STAT-INFOINFO

METAMETA

DW DW METAMETA

DATA DATA LOADERLOADER

MDB MDB CRECRE

Users: Statisticians

IT Staff

Conclusions of the Meta Data Driven Systems’ Usage

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