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X x = new X(10); X x2; Y y = new Y(5); x2 = x; // OK, both of same type x2 = y; // Error, not of same type } }

Here, even though class X and class Y are physically the same, it is not possible to assign a reference of type Y to a variable of type X because they have different types Therefore, this line is incorrect because it causes a compile-time type mismatch:

Let (x, y) be the coordinates of one point of the cam pro le The curve describing the cam pro le can be represented in parametric form as x( p) = Axi ( p - pi ) + Bxi ( p - pi ) + Cxi ( p - pi ) + Dxi

Tables are individual database tables that provide data A table may be a physical table in the RDBMS, or it may be a view or synonym Designer provides functionality to create aliases that are treated like tables Further, Designer allows you to create derived tables that are SQL queries, as an alternative to a DBA creating a stored procedure or a view In a data warehouse or data mart environment, you will have two types of tables: 1) a fact table that contains numeric information and 2) dimension tables that allow a user to analyze the numeric data from different perspectives such as product, time, or geography The fact table can have millions of detailed rows of data or can be smaller, with summary numbers One fact table together with its associated dimension tables is referred to as a star schema There can be multiple fact tables and star schemas within a universe

0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9

As the output shows, Main( ) suspends execution until both tsk and tsk2 terminate It is important to understand that in this program, the sequence in which tsk and tsk2 finish is not important relative to the calls to Wait( ) For example, if tsk2 completed first, the call to

(726a) (726b)

Part II:

24:

M u l t i t h r e a d i n g , P a r t Tw o : E x p l o r i n g t h e Ta s k P a r a l l e l L i b r a r y a n d P L I N Q

Dimension tables are also referred to as lookup tables or reference tables The dimension tables can be broken into more than one table; for example, detailed material IDs may reside in a MATERIAL_ID table The groupings and product hierarchy for the material IDs may reside in a separate table such as PRODUCT_GROUPING This type of structure, referred to as a snowflake design, is used in some data warehouses that have extremely large dimensions In a normalized OLTP, both the fact tables and the dimension tables may be spread across many tables For example, order information may exist in both an ORDER_HEADER table and an ORDER_LINES table Dimensions and hierarchies often do not exist in the OLTP (note in Figure 6-5 that there is no Time or Plant table, just the individual facility that produced the product) Only the individual material IDs, customer IDs, and so on are stored with detailed records BusinessObjects XI does not allow a universe to point to two different databases, so when users want to analyze transaction details with reference data, it generally calls for a data warehouse or data mart However, if this is not immediately possible, BusinessObjects provides a work-around in the end-user interfaces You, as the designer, can create two separate universes: one that points to the OLTP and one that points to the dimension database Users then would have to build two queries; however, as long as the detailed key information is named consistently between the universes, the results will be nicely displayed in one table, without the user having to manually stitch the two result sets together This technique is discussed further in 23

(727a) (727b) (727c)