Stairway to Database Design Level 9: Normalization
In the final step of Database Design, Joe Celko gives a simple but effective explanation of the normalization process and why it is important.
In the final step of Database Design, Joe Celko gives a simple but effective explanation of the normalization process and why it is important.
To learn MDX, there is really no alternative to installing the system and trying out the statements, and experimenting. William Pearson, the well-known expert on MDX, kicks off a stairway series on this important topic by getting you running from a standing start.
SSAS Maestro, SQL Server MVP and Business Intelligence Architect Bill Pearson introduces the MDX Head() function, which allows us to return, in order, a specified number of elements within a set.
Return, in order, a specified number of elements from the end of a set. SSAS Maestro, SQL Server MVP and Business Intelligence Architect Bill Pearson introduces the MDX Tail() function.
Business Intelligence Architect Bill Pearson introduces the MDX Ordinal Function, as a means for generating lists and for conditionally presenting calculations. He also demonstrates the use of the function in creating datasets to support report parameter picklists.
The Order() function provides the 'hierarchized' sorts you need for reports and applications using MDX. In this Step, Business Intelligence Architect Bill Pearson explores using the versatile Order() function for providing dataset sorts that respect dimensional hierarchies.
Bill Pearson continues his examination of the versatile Order() function, focusing upon its use in providing dataset sorts that reach beyond dimensional hierarchies
Bill explains what is meant by a 'Member' and 'Member function' in MDX. A member is an item in a dimension that include the 'measures' which are the values of the attributes that belong to a dimension. 'Measures' are themselves members of a dimension called the “measures” dimension. MDX has a set of functions, known as member functions, each of which allow us to perform operations upon any member of a dimension
The first part of our stairway series on SQL Trace examines the overview of this subsystem in SQL Server, it's architecture and the kind of information it returns.
The first part of our stairway series on SQL Trace examines the overview of this subsystem in SQL Server, it's architecture and the kind of information it returns.
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I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT YearEstablished, json_objectagg(city : TeamName) FROM dbo.NFLTeams GROUP BY YearEstablished;See possible answers