BUSINESSINTELLIGENCEUnderstanding Oracle BIComponents andRepository Modeling Basicsby Abhinav Banerjee
INTRODUCTION2
The importance of Business Intelligence                (BI) is rising by the day. BI systems, which                help or...
IntroductionIn an Oracle Business Intelligence (OBI)                dimensional models are in place, we needimplementation...
Table of Contents    CHAPTER 1                                                                 CHAPTER 3    Dimensional Mo...
About Author          Abhinav Banerjee          Abhinav Banerjee is a Consulting Manager working with KPI Partners.       ...
About KPI          KPI Partners is an Oracle Partner who specializes in Oracle Business          Intelligence (BI) and Ora...
CHAPTER 1    DIMENSIONAL    MODELING8
Dimensional Modeling (DM)                    DM refers to the methodology used                    to design data warehouse...
Star Schema              Dimension                                                            The star schema architecture...
Snowflake Schema                            Dimension                              Table                                  ...
CHAPTER 2     ORACLE BI     ARCHITECTURE12
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KPI Partners E-Book: Understanding Oracle BI Components and Repository Modeling Basics

  1. 1. BUSINESSINTELLIGENCEUnderstanding Oracle BIComponents andRepository Modeling Basicsby Abhinav Banerjee
  2. 2. INTRODUCTION2
  3. 3. The importance of Business Intelligence (BI) is rising by the day. BI systems, which help organizations make better and more informed decisions, are becoming crucial for success. One of the most common reasons for unsuccessful or delayed BI implementations is an improperly modeled repository not adhering to basic dimensional modeling principles. This article discusses this subject and describes the intricacies related to repository modeling and the associated concepts.3 © 2012 KPI Partners, Inc.
  4. 4. IntroductionIn an Oracle Business Intelligence (OBI) dimensional models are in place, we needimplementation, the repository plays the to ensure that the physical and the businessmost important role as the heart of any BI models are also properly designed andenvironment. The entire BI implementation developed based on the operational orcan go wrong because of a repository analytical reporting requirements.that is not well designed. Repository(RPD) designing and modeling is one of Dimensional models are level-basedthe most complex processes in an OBI measures, aggregates, multiple facts,implementation. RPD success is dependant multiple logical sources, conformingon knowledge of a few principles, which dimensions, slowly changing dimensionsinclude dimensional modeling and data designed to optimize performance formodeling. process reporting. This is a different approach from traditional data-relationalIn any implementation, we need to ensure models which are optimized to processour data and dimensional models are well- transactions. The complexity of dimensionaldesigned because the model plays such a modeling increases when requirements callsignificant role. Once these data and for the inclusion of very large data volumes.4 © 2012 KPI Partners, Inc.
  5. 5. Table of Contents CHAPTER 1 CHAPTER 3 Dimensional Modeling The Oracle BI Development Cycle 7 Dimensional Modeling (DM) 19 Oracle BI Development Cycle 8 Star Schema 9 Snowflake Schema CHAPTER 4 Building the Oracle BI Model 21 Build Oracle BI Model CHAPTER 2 Oracle BI Architecture 22 Import Objects 11 Oracle BI Architecture 24 Build Physical Model 14 Oracle BI Server 27 Physical Layer Best Practices 14 Oracle BI Presentation Services 28 Build BMM Model 15 Oracle BI Repository 34 BMM Layer Best Practices 15 Actions Services 38 Build the Presentation Layer 16 Security Service 40 Presentation Layer Best Practices 17 Cluster Controller Severs 17 Oracle BI Administration Tool5 © 2012 KPI Partners, Inc.
  6. 6. About Author Abhinav Banerjee Abhinav Banerjee is a Consulting Manager working with KPI Partners. He has more than eight years of business intelligence and data integration experience with more than four years in OBIEE (custom and packaged analytics). He has worked with several global clients in various domains that include telecommunications, high tech, manufacturing, energy, education, and oil and gas. He is also a frequent speaker at various Oracle conferences such as COLLABORATE and Oracle OpenWorld. Abhinav specializes in OBIA as well as custom OBIEE implementations. He can be reached at abhinav.banerjee@ kpipartners.com.6 © 2012 KPI Partners, Inc.
  7. 7. About KPI KPI Partners is an Oracle Partner who specializes in Oracle Business Intelligence (BI) and Oracle Enterprise Performance Management so- lutions. The award-winning staff at KPI Partners comes directly from the product engineering departments at Oracle, Siebel, and Hyperion. In addition to consulting services, KPI Partners offers training, support, and exclusive pre-packaged analytic solution extensions for Oracle Business Intelligence. KPI Partners works with both corporate technology departments and corporate business units to develop value-added business intelligence solutions, not just new technology deployments.7 © 2012 KPI Partners, Inc.
  8. 8. CHAPTER 1 DIMENSIONAL MODELING8
  9. 9. Dimensional Modeling (DM) DM refers to the methodology used to design data warehouses optimized for performance while querying and reporting. DM uses the concept of facts and dimensions. Facts, or measures, refer to measurable items or numeric values. These include sales quantity, sales amount, time taken, etc. Dimensions are the descriptors, or the relative terms, for the measures. Facts are relative to the dimensions. Some of the most common dimensions include account, customer, product, and date. Dimensional modeling requires the design of star or snowflake schema.9 © 2012 KPI Partners, Inc.
  10. 10. Star Schema Dimension The star schema architecture constitutes a Table central fact table with multiple dimension tables surrounding it. It will have one-to- many relationships between the dimensions and the fact table. The dimensions typicallyDimension Dimension have the relative descriptive attributes that Table Table describe business entities. Fact Table In case of a star schema, no two dimensions will be joined directly; rather, all the joins between the dimensions will be through the central fact table. Joins are completed via a foreign key relationship, with the dimension Dimension Dimension having the primary key and the fact having Table Table the foreign keys to join to the dimension.10 © 2012 KPI Partners, Inc.
  11. 11. Snowflake Schema Dimension Table The snowflake schema architecture also hasDimension Dimension a central fact table with multiple dimension Table Table Dimension Dimension tables and one to many relationships Table Fact Table between the dimension and the fact Table table, but it also will have one-to-many relationships between dimensions. The dimensions are further normalized into Dimension Table Dimension Table multiple related tables. In this case, multiple Dimension Dimension dimension tables will exist related to the Table Table main dimension table. Normally, we have one-to-many relationships between the dimensions. A primary key-foreign key relationship exists between the dimension and the fact tables as well as between dimensions.11 © 2012 KPI Partners, Inc.
  12. 12. CHAPTER 2 ORACLE BI ARCHITECTURE12
  13. 13. End Of PreviewDownload The Entire E-Book At www.kpipartners.com 1
  14. 14. www.kpipartners.com 2

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