By Andy Oppel
"Now you could layout, construct, and deal with an absolutely sensible database conveniently. completely up-to-date to hide the most recent applied sciences and strategies, Databases Demystified, moment version supplies the hands-on assist you have to start. Written in a step by step layout, this functional consultant covers tools that may be used with any database, together with Microsoft entry, MySQL, Microsoft SQL Server, and Oracle. you will know about relational database parts, database queries, SQL, the database existence cycle, logical database layout utilizing normalization, and actual database layout. information and technique modeling, database safety, on-line Analytical Processing (OLAP), and XML also are covered." -- again disguise. learn more... Database basics -- Exploring relational database elements -- Forms-based database queries -- advent to SQL -- The database lifestyles cycle -- Logical database layout utilizing normalization -- facts and technique modeling -- actual database layout -- Connecting databases to the skin international -- Database defense -- Database implementation -- Databases for on-line analytical processing -- Integrating XML files and gadgets into databases
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Extra info for Databases demystified
Each column must be assigned a name and a data type. • Restricting the data in the column to characters that make sense for the data type (for example, all numeric digits or only valid calendar dates). • Providing a set of behaviors useful to the database user. For example, if you subtract a number from another number, you get a number as a result; but if you subtract a date from another date, you get a number representing the elapsed days between the two dates as a result. • Assisting the RDBMS in efficiently storing the column data.
At a glance, the OO model looks horribly inefficient because it seems that each instance requires that the methods and the definition of the variables be redundantly stored. However, this is not at all the case. Objects are organized into a class hierarchy so that the common methods and variable definitions need only be defined once and then inherited by other members of the same class. Customer Object Add Customer Variables Update Contact List Customer Company ID Company Name Contact Name Address City Country Phone ...
Back in Figure 2-1, the relationship between Order and Product is many-to-many. ” This particular relationship has data associated with it as shown in the diamond on the diagram. Data that belongs to a many-to-many relationship is called intersection data. The data doesn’t make sense unless you associate it with both entities at the same time. For example, Quantity (the number of units ordered) doesn’t make sense unless you know who (which customer) ordered what (which product). In Figure 2-4, you will recognize this data as the Order Detail table from Northwind’s relational model, which was previously shown in Figure 1-7 in the last chapter.