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KIMBALL GROUP
The Kimball Group closed its doors on December 31, 2015. Bob Becker, Margy Ross, Warren Thornthwaite. Joy Mundy, Ralph Kimball, Julie Kimball. Thanks to all the DW and BI professionals we have met during the past 30+ years! We have compiled a new edition of The Kimball Group Reader (Wiley, 2016) containing a fully remastered library ofour
KIMBALL DW/BI LIFECYCLE METHODOLOGY The Kimball Lifecycle methodology was conceived during the mid-1980s by members of the Kimball Group and other colleagues at Metaphor Computer Systems, a pioneering decision support company. Since then, it has been successfully utilized by thousands of data warehouse and business intelligence (DW/BI) project teams across virtually every industry, application area, business function, andTYPE 2: ADD NEW ROW
Dimensional Modeling Techniques /. Type 2: Add New Row. Slowly changing dimension type 2 changes add a new row in the dimension with the updated attribute values. This requires generalizing the primary key of the dimension beyond the natural or durable key because there will potentially be multiple rows describing each member. When a newrow is
MICROSOFT DATA WAREHOUSE TOOLKIT: SQL SERVER 2005 Warren Thornthwaite and Joy Mundy co-authored this guide to building a successful business intelligence system and its underlying data warehouse databases using Microsoft SQL Server 2005. They provide invaluable advice about designing, developing, deploying, and operating your Kimball Method data warehouse system on the MicrosoftBI platform.
FOUR-STEP DIMENSIONAL DESIGN PROCESS The Four-Step Dimensional Design Process follows the business process, grain, dimension, and fact declarations. TYPE 4: ADD MINI-DIMENSION Dimensional Modeling Techniques /. Type 4: Add Mini-Dimension. Slowly changing dimension type 4 is used when a group of attributes in a dimension rapidly changes and is split off to a mini – dimension. This situation is sometimes called a rapidly changing monster dimension. Frequently used attributes in multimillion-row dimensiontables are
DEGENERATE DIMENSIONS Dimensional Modeling Techniques /. Degenerate Dimensions. Sometimes a dimension is defined that has no content except for its primary key. For example, when an invoice has multiple line items, the line item fact rows inherit all the descriptive dimension foreign keys of the invoice, and the invoice is left with no unique content. MULTIPLE HIERARCHIES IN DIMENSIONS Multiple Hierarchies in Dimensions. Many dimensions contain more than one natural hierarchy. For example, calendar date dimensions may have a day to week to fiscal period hierarchy, as well as a day to month to year hierarchy. Location intensive dimensions may have multiple geographic hierarchies. In all of these cases, the separate BUILDING THE HIERARCHY BRIDGE TABLE information on this advanced SQL syntax, there’s a Wikipedia article entitled “Hierarchical and Recursive Queries in SQL.” Using CTE with UNION ALL, you can build the desired hierarchy bridge table with the SELECT statement DESIGN TIP #147 DURABLE “SUPER-NATURAL” KEYS Design Tip #147 Durable “Super-Natural” Keys. One of the tasks of the ETL system’s customer dimension manager is to “assign a unique durable key to each customer.”. By durable key, we mean a single key value that uniquely and reliably identifies a given customer over time. In most cases, this unique durable key is the natural businessKIMBALL GROUP
The Kimball Group closed its doors on December 31, 2015. Bob Becker, Margy Ross, Warren Thornthwaite. Joy Mundy, Ralph Kimball, Julie Kimball. Thanks to all the DW and BI professionals we have met during the past 30+ years! We have compiled a new edition of The Kimball Group Reader (Wiley, 2016) containing a fully remastered library ofour
KIMBALL DW/BI LIFECYCLE METHODOLOGY The Kimball Lifecycle methodology was conceived during the mid-1980s by members of the Kimball Group and other colleagues at Metaphor Computer Systems, a pioneering decision support company. Since then, it has been successfully utilized by thousands of data warehouse and business intelligence (DW/BI) project teams across virtually every industry, application area, business function, andTYPE 2: ADD NEW ROW
Dimensional Modeling Techniques /. Type 2: Add New Row. Slowly changing dimension type 2 changes add a new row in the dimension with the updated attribute values. This requires generalizing the primary key of the dimension beyond the natural or durable key because there will potentially be multiple rows describing each member. When a newrow is
MICROSOFT DATA WAREHOUSE TOOLKIT: SQL SERVER 2005 Warren Thornthwaite and Joy Mundy co-authored this guide to building a successful business intelligence system and its underlying data warehouse databases using Microsoft SQL Server 2005. They provide invaluable advice about designing, developing, deploying, and operating your Kimball Method data warehouse system on the MicrosoftBI platform.
FOUR-STEP DIMENSIONAL DESIGN PROCESS The Four-Step Dimensional Design Process follows the business process, grain, dimension, and fact declarations. TYPE 4: ADD MINI-DIMENSION Dimensional Modeling Techniques /. Type 4: Add Mini-Dimension. Slowly changing dimension type 4 is used when a group of attributes in a dimension rapidly changes and is split off to a mini – dimension. This situation is sometimes called a rapidly changing monster dimension. Frequently used attributes in multimillion-row dimensiontables are
DEGENERATE DIMENSIONS Dimensional Modeling Techniques /. Degenerate Dimensions. Sometimes a dimension is defined that has no content except for its primary key. For example, when an invoice has multiple line items, the line item fact rows inherit all the descriptive dimension foreign keys of the invoice, and the invoice is left with no unique content. MULTIPLE HIERARCHIES IN DIMENSIONS Multiple Hierarchies in Dimensions. Many dimensions contain more than one natural hierarchy. For example, calendar date dimensions may have a day to week to fiscal period hierarchy, as well as a day to month to year hierarchy. Location intensive dimensions may have multiple geographic hierarchies. In all of these cases, the separate BUILDING THE HIERARCHY BRIDGE TABLE information on this advanced SQL syntax, there’s a Wikipedia article entitled “Hierarchical and Recursive Queries in SQL.” Using CTE with UNION ALL, you can build the desired hierarchy bridge table with the SELECT statement DESIGN TIP #147 DURABLE “SUPER-NATURAL” KEYS Design Tip #147 Durable “Super-Natural” Keys. One of the tasks of the ETL system’s customer dimension manager is to “assign a unique durable key to each customer.”. By durable key, we mean a single key value that uniquely and reliably identifies a given customer over time. In most cases, this unique durable key is the natural businessKIMBALL GROUP
Thanks to all the DW and BI professionals we have met during the past 30+ years! We have compiled a new edition of The Kimball Group Reader (Wiley, 2016) containing a fully remastered library of our published content!. Our website includes our most popular articles and Design Tips, our Toolkits’ utilities, glossary of dimensional modeling techniques, and more. NATURAL, DURABLE, AND SUPERNATURAL KEYS Natural keys created by operational source systems are subject to business rules outside the control of the DW/BI system.For instance, an employee number (natural key) may be changed if the employee resigns and then is rehired. When the data warehouse wants to have a single key for that employee, a new durable key must be created that is persistent and does not change in this situation. DESIGN TIP #147 DURABLE “SUPER-NATURAL” KEYS Design Tip #147 Durable “Super-Natural” Keys. One of the tasks of the ETL system’s customer dimension manager is to “assign a unique durable key to each customer.”. By durable key, we mean a single key value that uniquely and reliably identifies a given customer over time. In most cases, this unique durable key is the natural business THE MICROSOFT DATA WAREHOUSE TOOLKIT, 2ND The Microsoft Data Warehouse Toolkit, 2nd Edition. Wiley, 2011. Joy Mundy and Warren Thornthwaite co-authored this guide to building a successful business intelligence system and its underlying data warehouse databases using Microsoft SQL Server 2008 R2. They provide invaluable advice about designing, developing, deploying, andoperating your
FACT TABLES
Fact Tables. By Ralph Kimball. November 5, 2008. F act tables are the foundation of the data warehouse. They contain the fundamental measurements of the enterprise, and they are the ultimate target of most data warehouse queries. There is no point in hoisting fact tables up the flagpole unless they have been chosen to reflect urgentbusiness
DESIGN TIP #168 WHAT'S IN A NAME? Design Tip #168 What’s in a Name? By Joy Mundy. July 21, 2014. It seems like a small thing, but names are important. Good names for tables and columns are particularly important for ad hoc users of the DW/BI system who need to find the objects they’re looking for. Object names should be oriented to the business users, not thetechnical staff.
KIMBALL DIMENSIONAL MODELING TECHNIQUES Kimball Dimensional Modeling Techniques data.IT'S TIME FOR TIME
It's Time for Time. By Ralph Kimball. July 10, 1997. The importance of the time dimension in data marts and data warehouses. The time dimension is a unique and powerful dimension in every data mart and enterprise data warehouse. Although one of the tenets of dimensional modeling is that all dimensions are created equal, the truth is thatthe
DESIGN TIP #140 IS IT A DIMENSION, A FACT, OR BOTH Design Tip #140 Is it a Dimension, a Fact, or Both? By Joy Mundy. November 1, 2011. For most subject areas, it’s pretty easy to identify the major dimensions: Product, Customer Account, Student, Employee, and Organization are all easily understood as descriptive dimensions. A store’s sales, a telecommunication company’s phonecalls, and a
DESIGN TIP #166 POTENTIAL BRIDGE (TABLE) DETOURS Design Tip #166 Potential Bridge (Table) Detours. By Margy Ross. May 14, 2014. Dimensional designs often need to accommodate multivalued dimensions. Patients can have multiple diagnoses. Students can have multiple majors. Consumers can have multiple hobbies or interests. Commercial customers can have multiple industry classifications.* __
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THANK YOU!
The Kimball Group closed its doors on December 31, 2015. Bob Becker, Margy Ross, Warren Thornthwaite Joy Mundy, Ralph Kimball, Julie Kimball Thanks to all the DW and BI professionals we have met during thepast 30+ years!
We have compiled a new edition of _The Kimball Group Reader_
(Wiley, 2016) containing a fully remastered library of our publishedcontent!
Our website includes our most popular articles and _Design Tips_, our _Toolkits_’ utilities, glossary of dimensional modeling techniques, and more. Check out the Resources tababove.
Other news…
Ralph and Julie are enjoying retirement. Email Julie if you wish toreach them.
Margy continues to offer DW/BI classes and consulting through DecisionWorks . Email Margy to contact her. Bob has happily retired from DecisionWorks. Joy is traveling extensively, but still teaches classes occasionally. Email Joy to reach her. As always, thanks for your interest and support! _The Kimball Group Reader, Remastered Collection_ (Wiley, 2016) Over 400,000 Kimball _Toolkit_ books sold The Kimball Group. All Rights Reserved. Spark Logix StudiosDetails
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