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Anchor Modeling ER09 Presentation

The presentation held at the 28th International Conference on Conceptual Modeling.

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Anchor Modeling ER09 Presentation

  1. 1. AnchorModeling<br />An Agile Modeling Technique using the Sixth Normal Form for Structurally and Temporally Evolving Data<br />Lars Rönnbäck[ER09]<br />
  2. 2. 2<br />“You can never step<br />into the same river<br />twice.”<br />
  3. 3. Olle<br />Regardt<br />Lars<br />Rönnbäck<br />Maria<br />Bergholtz<br />PetiaWohed<br />Paul<br />Johannesson<br />EVERYONE<br />DW<br />MDM<br />EDW<br />TDWI<br />CC<br />WWW<br />KTH/SU<br />DW<br />ER09<br />DW<br />2008<br />2003<br />2004<br />2005<br />2006<br />2007<br />2009<br />
  4. 4. Entity<br />Relationship<br />Modeling<br />Sixth<br />Normal<br />Form<br />Temporal<br />Databases<br />
  5. 5. ANCHORS<br />KNOTS<br />Gender<br />CustomerClass<br />HouseholdOwner<br />VisitingFrequencyInterval<br />Customer<br />Store<br />Purchase<br />Item<br />PriceList<br />Inventory<br />TIES<br />Customer_Address<br />Customer_Household<br />Card_Customer<br />CustomerDateOfBirth<br />CustomerNumber<br />CustomerName<br />CustomerGender<br />ATTRIBUTES<br />
  6. 6. ANCHORS<br />KNOTS<br />select top 5 * from GEN_Gender<br />select top 5 * from CU_Customer<br />Attributes and ties come in fourflavors, historized or staticcombined with knotted<br />ATTRIBUTES<br />TIES<br />select top 5 * from CUDOB_CustomerDateOfBirth<br />select top 5* from CUHH_Customer_Household<br />
  7. 7. Model Evolution<br />1<br />2<br />3<br />4<br />5<br />All previous versions of the schema are present and werenevermodified, allowing extensions to be made ”online”.<br />
  8. 8. LatestView<br />Point-in-TimeFunction<br />Joins all attributes and finds the attributerow with the latestFromDateearlier or on the given timepointifhistorized<br />Joins all attributes and finds the attributerow with the latestFromDateifhistorized<br />
  9. 9. The queryexecution plan shows that onlytwotables are touched (the anchor and the selectedattribute)despite of the fact that severalothers are joinedinto the viewwe are using.<br />
  10. 10. Table Elimination<br />The query optimizer will remove table T from the execution plan of a query if the following two conditions are fulfilled: <br />no column from T is explicitly selected<br />the number of rows in the returned data set is not affected by the join with T<br />Support<br />Microsoft SQL Server<br />Oracle<br />IBM DB2<br />PostgreSQL<br />MariaDB (fork of MySQL)<br />Teradata (partial)<br />
  11. 11. The scripts for setting up the database, including all views and functions, can be automaticallygenerated from a compact XML description.<br />Pseudoloadingcode given ”wide” source data:<br /><ul><li>Check iftherealready is an associatedsurrogate key for eachnatural key
  12. 12. For unknownindividuals
  13. 13. Create and associatesurrogatekeys
  14. 14. Directlyinsert data into all relevant tables</li></ul>(mosttablesincluding the anchor)<br /><ul><li>For knownindividuals
  15. 15. If this is a delta file, directlyinsert data into all relevant tables
  16. 16. If this is not a delta file, check if the value in the sourcediffers from the latestvalue in the destination and insertif the data is new</li></ul>(fewtablesexcluding the anchor)<br />Data loadingtemplatescan be made in whichonly the names of the tables and the join with the natural key have to be changed.<br />
  17. 17. Ease of Modeling<br />Simple concepts and notation<br />Historization by design<br />Iterative and incrementaldevelopment<br />Reducedtranslationlogic<br />SimplifiedMaintenance<br />Ease of temporal querying <br />Absence of null values <br />Reusability and automation <br />Asynchronous arrival of data <br />High Performance<br />High run-time performance<br />Efficientstorage<br />Parallelized physical media access <br /><br />

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  • fjgirante1

    Sep. 10, 2019

The presentation held at the 28th International Conference on Conceptual Modeling.


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