Surrogate Key & Slowly Changing Dimensions. SURROGATE KEY.

Presentasi berjudul: "Surrogate Key & Slowly Changing Dimensions. SURROGATE KEY."— Transcript presentasi:

1 Surrogate Key & Slowly Changing Dimensions

2 SURROGATE KEY

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4 Solusi Surrogate Key

5 SQL Statement CREATE TABLE negara ( negara_sk int IDENTITY(1,2) PRIMARY KEY, kode_negara varchar(10) NOT NULL, nama_negara varchar(50) NOT NULL, gdp int) Identity(a,b) : – a : seed – b : increment

6 INSERT negara (kode_negara, nama_negara, gdp) VALUES (‘IND’, ‘Indonesia’, 100) INSERT negara (kode_negara, nama_negara, gdp) VALUES (‘SGP’, ‘Singapura’, 1000) INSERT negara (kode_negara, nama_negara, gdp) VALUES (‘KAN’, ‘Kanada’, 1100)

7 SELECT nama_negara, gdp FROM negara WHERE gdp > 100 SELECT negara.nama_negara, propinsi.nama_propinsi FROM negara, propinsi WHERE negara.kode_negara = ‘IND’ AND negara.negara_sk = propinsi.negara_sk

8 SLOWLY CHANGING DIMENSIONS

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10 SCD Type 1 : Correction of Errors Contoh : – Perubahan nama customer Michel Romano menjadi Michael Romano – Perubahan nama customer setelah menikah (Kristin Daniels menjadi Kristin Samuelson)

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12 SCD Type 2 : Preservation of History Contoh : perubahan status customer menjadi married dan perubahan alamat

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14 SCD Type 3 : Tentative Soft Revisions Contoh : perubahan alamat customer

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16 SNOWFLAKE SCHEMA

17 Snowflake schema : normalisasi tabel dimensi pada Star Schema Contoh : – Dimensi Product : 50.000 products 500 product brands 10 product categories

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21 AGGREGATE FACT TABLE

22 Ukuran Tabel Fakta

23 300 stores, 500 products per brand Fact table  penjualan product per store per week Query involves 1 product, 1 store, 1 week— retrieve/summarize only 1 fact table row Query involves 1 product, all stores, 1 week— retrieve/summarize 300 fact table rows Query involves 1 brand, 1 store, 1 week— retrieve/summarize 500 fact table rows Query involves 1 brand, all stores, 1 year— retrieve/summarize 7,800,000 fact table rows

24 Aggregates have fewer rows than the base tables Formation of aggregate fact tables is certainly a very effective method to improve query performance

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26 One-Way Aggregates Product category by store by date Product department by store by date All products by store by date Territory by product by date Region by product by date All stores by product by date Month by store by product Quarter by store by product Year by store by product

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28 Two-Way Aggregates Product category by territory by date Product category by region by date Product category by all stores by date Product category by month by store Product category by quarter by store Product category by year by store Product department by territory by date Product department by region by date Product department by all stores by date Product department by month by store Product department by quarter by store Product department by year by store All products by territory by date All products by region by date All products by all stores by date All products by month by store All products by quarter by store All products by year by store District by month by product District by quarter by product District by year by product Territory by month by product Territory by quarter by product Territory by year by product Region by month by product Region by quarter by product Region by year by product All stores by month by product All stores by quarter by product All stores by year by product

29 Three-Way Aggregates Product category by territory by month Product department by territory by month All products by territory by month Product category by region by month Product department by region by month All products by region by month Product category by all stores by month Product department by all stores by month Product category by territory by quarter Product department by territory by quarter All products by territory by quarter Product category by region by quarter Product department by region by quarter All products by region by quarter Product category by all stores by quarter Product department by all stores by quarter Product category by territory by year Product department by territory by year All products by territory by year Product category by region by year Product department by region by year All products by region by year Product category by all stores by year Product department by all stores by year All products by all stores by year