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Evolution of software is quite natural, and over time, a software technology or application will evolve either for maintenance purposes or to meet additional business requirements Rearchitecting involves a rewrite of the application and other processes to either make them more maintainable and optimized or to be in sync with the latest and greatest technologies Sometimes, rearchitecting becomes a necessary evil when either the technology in use is outdated or out of support, or if the application was badly designed to begin with, resulting in poor performance and low reliability, or to conform to enterprise-wide IT standards that have evolved over time Rearchitecting strategies are more complex than refactoring and require a thorough analysis of the systems and the applications With refactoring, you are simply reorganizing existing components, while the rearchitecting process allows you to redesign and implement entire portions of functionality, potentially including new capabilities in the product Businesses usually undertake rearchitecting projects when there is a renewed direction from upper management to implement a specific tool or technology, or as part of a platform migration project Migration projects provide an opportunity to modify legacy applications when the organization budgets the resources, time, and the expense

that you are making available to your query and report writers Think of it as a definition that gets you a resulting set of data It could be as simple as all the columns of a single table, or it could be more complex, with columns from multiple tables, filters, calculations, and even complex SQL logic The three types of query subjects are discussed separately: data source, model, and stored procedure A data source query subject is really a SQL select statement that specifies the columns and the table(s) to be pulled into the model Most of the data source query subjects take the following form:

3 Enter the code in the button event as shown in Figure 7- 1

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The process of rearchitecting an application involves manual conversion and is similar to a brand-new implementation in many ways Rearchitecting an application requires exhaustive and time-consuming test cycles and is the most complex migration strategy when compared with replatforming and refactoring Rearchitecture projects do not necessarily provide a rapid payoff, but can have a long-term return on investment that is best determined by the business and the IT departments Consider an example of a rearchitecture scenario for migrating Teradata BTEQ scripts to the Oracle-equivalent components Teradata BTEQ is a type of server-side script and is mostly used for performing ETL into the Teradata environment The appropriate technology to use in Oracle to perform ETL is Oracle Data Integrator (ODI) ODI provides point-and-click interfaces for creating data flows and mappings rather than hand-coding the ETL logic, which is what BTEQ essentially does The benefit of using ETL tools for performing data transformations (as opposed to using scripts) are multifold, some of which are improved productivity and maintainability, better manageability of processes, easier configurability of ETL, and flexibility to changes A rearchitecture of these server-side scripts might be a necessary component of a migration effort, but as you can see, will pay off with added benefits for the short and long term

Part IV:

That definition will get all the columns from the table and make them available to you, making it easy to update the object to pull in new columns that may have been added to the table since the query subject was first defined (more on that later) Data source query subjects can have more complex definitions, but try not to do too much in the way of writing SQL here We will discuss good and bad practices in query subject definitions later in the chapter in the section Creating and Editing Query Subjects A model query subject refers to query items already in the model These query items can come from data source query subjects or other model query subjects In addition, you can add filtering and calculations to the model query subject definition Finally, you can create a stored procedure query subject This is simply a definition that specifies a stored procedure coded within your data source that returns a table-like result set If you are not sure what a stored procedure is, do not worry; this is by far the least used of the query subject types But if you need it, it comes in handy

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