Spatial data warehouses and SOLAP: a new GIS technology Geosciences, mapping day Jean-Paul KASPRZYK, phd student.

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Spatial data warehouses and SOLAP: a new GIS technology Geosciences, mapping day Jean-Paul KASPRZYK, phd student

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology October 2011 Introduction: GIS and SOLAP GIS : OnLine Transactional Processing (OLTP) –Daily management of spatial data Easy update, integrity and no redundancy of the data –Based on transactional databases Entity association approach Easy access to data SOLAP : Spatial OnLine Analytical Processing (Bédard, 1997) –Decision support (Business intelligence) Archiving  temporal dimension –Based on data warehouses Multidimensional approach Easy exploration of the data at different aggregation levels Integration of large amount of heterogeneous data

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology October 2011 Multidimensional approach Fact: offence Time: year Time: month Time: day Serial Offender address Commune Province Offence Place Commune Province Offence Place Commune Offence Place Snowflake schema of the criminal data

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology October 2011 SOLAP Architecture ETLData warehouse Data cube (SOLAP server) OLAP SOLAP Source data

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology October 2011 Data integration : ETL (extract transform load)

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology October 2011 OLAP interface : drill down Operation drill down

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology October 2011 OLAP interface : drill through operation drill through

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology October 2011 OLAP interface: slice operation Slice (time)Slice (serie)

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology October 2011 OLAP interface: graphic exports

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology October 2011 SOLAP Interface: spatial drill down (1) MDX request SELECT {[Measures].[offence]} ON COLUMNS, {[offence place].[province].members} ON ROWS FROM [offence]

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology October 2011 SOLAP interface: spatial drill down (2)

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology October 2011 SOLAP Interface :

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology October 2011 Conclusion Advantages of SOLAP –Integration and exploration of large amounts of heterogeneous data –Simple interface –Quick requests –Ideal for decision support Spatial OLAP = new technologies –spatial operations can still be improved Example: buffer operation through the data cube

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology October 2011 Thank you for listening Any question?