Data Warehousing

AN INTRO TO DATA MARTS AND DATA WAREHOUSES MARKUS BEAMER BDPA-CHARLOTTE WWW.BDPA-CHARLOTTE.ORG ALSO AVAILABLE ON MOBEAMER.BLOGGER.COM Intelligent Data Strategies

Data Warehouse or Data mart ,[object Object],Data Warehouse Data Mart Extreme Volume Contains years of daily information at the lowest grain possible. Specific Volume Sets May only contain month to date information. Corporate wide The grouping of data elements is dictated by the corporate structure. Specific Data is grouped by needs of the team or group building the solution. Facts and Dimensions This system is typically made up of facts. Many Metrics Has many metric tables and rollup grains Serves data to Datamarts Serves data to Reports Will have data that is shared across groups. Will have data specific to only the implementation group.

Traditional Reporting Solutions Many systems performing many different business functions Analyst(s) Intelligence Many reports from the multiple sources Human intervention is needed to “makes sense” of different reports. ,[object Object],[object Object],[object Object],[object Object],[object Object]

The Disorganized Closet ,[object Object],[object Object]

Organize Your Data Closet ,[object Object],[object Object],[object Object]

Simple Data Warehousing Many systems performing many different business functions Intelligence A centralized shared location for all the data. Automated reporting that understands all sources. Reports specific to each system can still be delivered.

Adding Data Marts Intelligence Automated reporting that understands all sources can be delivered. Reports specific to each system can still be delivered. Data Mart Data Mart

Loading the Warehouse ,[object Object],[object Object],[object Object],[object Object],The Website A normal website where customer can come and order items from your company. Data A single data file containing All Orders made by a customer for that day. Website DB This is your standard relational database system. Tracks a lot of information. Ware House All this data is stored in a single table called “Orders”

Components of a Datawarehouse External Sources Stage Data Marts Reports

Facts ,[object Object],[object Object],Date CustomerDimID ProductDimID Price 06/25/2010 1 101 19.00 06/28/2010 2 102 10.00 Name CustomerID Product Price Date Markus 1001 Airplane 19.00 06/25/2010 John 1010 Car 10.00 06/28/2010

Dimensions ,[object Object],[object Object],CustDimID CustID Name 1 1001 Markus 2 1010 John ProductDimID Name 101 Airplane 102 Car

Time Sensitive Dimensions ,[object Object],[object Object],[object Object],2 Customers one in NC one in SC. Markus moves to SC in Feb. You can still report accurate NC sales in Jan because of the start and end dates. CustDimID CustID Name State Start End 1 1001 Markus NC 01/01/2010 01/01/2070 2 1010 John SC 01/01/2010 01/01/2070 CustDimID CustID Name State Start End 1 1001 Markus NC 01/01/2010 01/31/2010 2 1010 John SC 01/01/2010 01/01/2070 3 1001 Markus SC 02/01/2010 01/01/2070

Hierarchies ,[object Object],[object Object],For Example: The Airplane and Car both belong to the Toys product line. This hierarchy could be used to rollup and produce all Toy sales. ProductDimID Name ProductCode ParentCode 100 Toys T - 101 Airplane A1 T 102 Car C1 T

Facts and Dimensions ,[object Object],CustDimID CustID Name 1 1001 Markus 2 1010 John ProductDimID Name 101 Airplane 102 Car Date CustomerDimID ProductDimID Price 06/25/2010 1 101 19.00 06/28/2010 2 102 10.00

Metrics ,[object Object],[object Object],Product Metric Table For Example: The Product Metric table might be used to show that “Airplanes”(101) were sold 30 times on the 28 th . Customer Metric Table In this example you can see that Markus (1) bought one product, while John (2) bought 5 orders . Date ProductDimID NumOrders 06/25/2010 101 20 06/28/2010 102 30 Date CustDimID NumOrders 06/25/2010 1 1 06/28/2010 2 5

Star Schema ,[object Object],Orders Date CustomerDimID ProductDimID EmployeeDimID Price Product ProductDimID ProductName ProdcutCode ParentCode Start End Customer CustomerDimID CustID Name Age Start End Date Date Day of Week Month Name isHoliday Employee EmployeeDimID SSN Manager SSN Status Start End

Using the Data Mart ,[object Object],[object Object],[object Object],[object Object]

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Creating A Metric Table Orders Date CustomerDimID ProductDimID EmployeeDimID Price Product ProductDimID ProductName ProdcutCode ParentCode Start End Customer CustomerDimID CustID Name Age Start End Date Date Day of Week Month Name isHoliday Employee EmployeeDimID SSN Manager SSN Status Start End Date CustDimID NumOrders 06/25/2010 1 1 06/28/2010 2 5

References ,[object Object],[object Object],[object Object],[object Object]

Data Warehousing

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Data Warehousing