Dan Querimit - BI Portfolio

Dec 2, 2009Download as PPT, PDF0 likes427 views

This document outlines the design of a business intelligence portfolio for All Works Construction Company including a data warehouse, ETL processes, OLAP cube, and reports. The data warehouse will use a snowflake schema design. The ETL processes will load dimension and fact data into a staging area. An OLAP cube will be created using SQL Server Analysis Services with a MOLAP storage mode and partitioning strategy. Reports will be created in SQL Server Reporting Services, Excel Services, and Performance Point and published to SharePoint.

Business Intelligence Portfolio Dan Querimit [email_address] (804) 301-5575 All Works Construction Company

Table of Contents Data Warehouse Design – MS Visio ETL Process – SQL Server 2005 Integration Services OLAP – SQL Server 2005 Analysis Services and MDX Reporting – SQL Server 2005 Reporting Services, Excel Services, Performance Point Server 2007

Data Warehouse Design Introduction: Design a Data Warehouse Schema that allows All Works to report on areas of business including labor, customer, materials, and overhead information. Project Goals: Select the Business Process by understanding business requirements with an understanding of available data. Declare the grain for each functional business area. Choose the Dimension that will be used in the Data Warehouse design. Identify the facts to that will serve as measures all works will report on.

Data Warehouse Design This Diagram Shows the Relational Database Design for the OLAP Database. If a MOLAP (Multidimensional Online Analytical Processing) cube is to be part of the solution, this area is known as the Staging Area. This is an example of multiple snowflake schemas.

ETL Process – SSIS Overview Introduction: Design an ETL Process that uploads source data in to the Staging Area. Project Goals: Identify the correct data sources. Develop ETL Processes for the dimensions (Attributes). Develop ETL Processes for the Facts (Measures). Develop Staging Database Maintenance tasks. Implement appropriate Notifications for the processes.

ETL Process – SSIS This is an example of loading a slowly changing dimension table. It will use a surrogate key to verify the employee exists, if not it will write the row to an error log and send a notification email. The package will then update new employee rate data or add new employee rates.

ETL Process – SSIS This is an example of loading fact table from multiple text files. It will use a surrogate key to verify the employee and job exists, if not it will write the row to an error log and send a notification email. The package will then check for closed job and write those rows to an error log. Finally, new timesheet entries are added and changed timesheet entries are updated.

ETL Process – T-SQL This is an example T-SQL code written to upload data into the Time Dimension table.

OLAP – SSAS Overview Introduction: Design an OLAP solution for Reporting and KPIs. Project Goals: Identify a Storage Mode MOLAP (Multidimensional OLAP) “Using a Cube” High Latency (Data is only updated after Processing Cube) . High Performance (Up to 1000 Times faster then ROLAP) ROLAP (Relational OLAP) “Reporting from Staging Area” Low Latency (Data is Real Time) . Low Performance HOLAP (Hybrid OLAP) There are Several Types in SSAS 2005 One example is Real Time HOLAP where it will use MOLAP while the data is up to date and ROLAP while the data is updated. Specify a Partitioning Strategy. Develop the Cube Structure, Dimension Usages, Calculations, and KPIs as Needed.

OLAP - SSAS This Partition Strategy partitions each fact table by two year period and aggregates to approximately a 50% performance balance.

Reporting - Overview Introduction: Create Reports in SQL Server 2005 Reporting Services, Excel Services, Performance Point Server 2007 Project Goals: Create various reports to specification. Create a dashboard for these reports where necessary. Publish these reports to Sharepoint. Create Report Subscription Schedules as requested.

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Dan Querimit - BI Portfolio

1. Business Intelligence Portfolio Dan Querimit [email_address] (804) 301-5575 All Works Construction Company

2. Table of Contents Data Warehouse Design – MS Visio ETL Process – SQL Server 2005 Integration Services OLAP – SQL Server 2005 Analysis Services and MDX Reporting – SQL Server 2005 Reporting Services, Excel Services, Performance Point Server 2007

3. Data Warehouse Design Introduction: Design a Data Warehouse Schema that allows All Works to report on areas of business including labor, customer, materials, and overhead information. Project Goals: Select the Business Process by understanding business requirements with an understanding of available data. Declare the grain for each functional business area. Choose the Dimension that will be used in the Data Warehouse design. Identify the facts to that will serve as measures all works will report on.

4. Data Warehouse Design This Diagram Shows the Relational Database Design for the OLAP Database. If a MOLAP (Multidimensional Online Analytical Processing) cube is to be part of the solution, this area is known as the Staging Area. This is an example of multiple snowflake schemas.

5. ETL Process – SSIS Overview Introduction: Design an ETL Process that uploads source data in to the Staging Area. Project Goals: Identify the correct data sources. Develop ETL Processes for the dimensions (Attributes). Develop ETL Processes for the Facts (Measures). Develop Staging Database Maintenance tasks. Implement appropriate Notifications for the processes.

6. ETL Process – SSIS This is an example of loading a slowly changing dimension table. It will use a surrogate key to verify the employee exists, if not it will write the row to an error log and send a notification email. The package will then update new employee rate data or add new employee rates.

7. ETL Process – SSIS This is an example of loading fact table from multiple text files. It will use a surrogate key to verify the employee and job exists, if not it will write the row to an error log and send a notification email. The package will then check for closed job and write those rows to an error log. Finally, new timesheet entries are added and changed timesheet entries are updated.

8. ETL Process – SSIS

9. ETL Process – SSIS

10. ETL Process – T-SQL This is an example T-SQL code written to upload data into the Time Dimension table.

11. OLAP – SSAS Overview Introduction: Design an OLAP solution for Reporting and KPIs. Project Goals: Identify a Storage Mode MOLAP (Multidimensional OLAP) “Using a Cube” High Latency (Data is only updated after Processing Cube) . High Performance (Up to 1000 Times faster then ROLAP) ROLAP (Relational OLAP) “Reporting from Staging Area” Low Latency (Data is Real Time) . Low Performance HOLAP (Hybrid OLAP) There are Several Types in SSAS 2005 One example is Real Time HOLAP where it will use MOLAP while the data is up to date and ROLAP while the data is updated. Specify a Partitioning Strategy. Develop the Cube Structure, Dimension Usages, Calculations, and KPIs as Needed.

12. OLAP - SSAS

13. OLAP - SSAS

14. OLAP – SSAS - Calculations

15. OLAP – SSAS - KPIs

16. OLAP - SSAS This Partition Strategy partitions each fact table by two year period and aggregates to approximately a 50% performance balance.

17. OLAP – MDX Code

18. OLAP - MDX Code

19. Reporting - Overview Introduction: Create Reports in SQL Server 2005 Reporting Services, Excel Services, Performance Point Server 2007 Project Goals: Create various reports to specification. Create a dashboard for these reports where necessary. Publish these reports to Sharepoint. Create Report Subscription Schedules as requested.

20. Reporting - SSRS

21. Reporting – SSRS - SharePoint

22. Reporting – Excel Services - SharePoint

23. Reporting – Excel Services - SharePoint

24. Reporting – Performance Point

25. Reporting – Performance Point

26. Reporting – Performance Point

27. Reporting – Additional KPIs

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