Arquitectura soa con tecnologia microsoft

RDL es extensible. Acceso mediante direcciones URL. Todos los reportes y los elementos almacenados en un Report Server pueden tener direcciones del espacio de nombres del Report Server.

Proveedor WMI. Se pueden crear extensiones de entrega personalizadas para enrutar reportes a recursos compartidos de archivos, almacenes de archivo internos o aplicaciones internas. El diagrama siguiente muestra los componentes y las herramientas de Reporting Services.

Diagrama de la arquitectura de Reporting Services. Los subcomponentes del Report Server incluyen procesadores y extensiones. Los procesadores son el concentrador del Report Server.

Los procesadores admiten la integridad del sistema de reportes y no se pueden modificar ni ampliar. Los programadores de otros fabricantes pueden crear extensiones adicionales para reemplazar o ampliar la capacidad de procesamiento del Report Server. Almacenamiento de datos. El Report Server es un servidor sin estado que almacena todas las propiedades, los objetos y los metadatos en una base de datos de SQL Server.

Las extensiones de seguridad se utilizan para autenticar y autorizar usuarios y grupos para un Report Server. Las extensiones de procesamiento de datos se utilizan para consultar un origen de datos. Y cuando esto sucede, devuelven un conjunto de filas planas. Se puede utilizar las extensiones que se incluyen en Reporting Services o desarrollar extensiones propias. Las extensiones de procesamiento de datos procesan las solicitudes de consulta del Procesador de reportes.

Se pueden agregar extensiones de procesamiento de reportes para proporcionar un procesamiento de reportes personalizado para los elementos de informe que no se incluyen en Reporting Services. Las extensiones de entrega funcionan conjuntamente con las suscripciones. El servidor de reportes y el motor de base de datos compiten por recursos de procesamiento como el tiempo de CPU, la memoria y el acceso al disco. La primera es la de volver a introducir a mano los datos entregados por un sistema en otro distinto e incompatible.

Un servicio es una funcionalidad concreta que puede ser descubierta en la red y que describe tanto lo que puede hacer como el modo de interactuar con ella. A los efectos de este documento, nos vamos a referir de forma genera a SOA, incluyendo en este concepto tanto los servicios implantados en local como los alojados en Internet.

Con SOA se puede conseguir mejorar la capacidad de respuesta a los clientes, habilitando por ejemplo portales unificados de servicios. Con ello se reduce el coste del desarrollo de soluciones y de los ciclos de prueba, se eliminan redundancias y se consigue su puesta en valor en menos tiempo. Se accede a los servicios y no a las aplicaciones, y gracias a ello la arquitectura orientada a servicios optimiza las inversiones realizadas en IT potenciando la capacidad de introducir nuevas capacidades y mejoras.

El objetivo de cualquier proyecto SOA no debe consistir en renovar de forma indiscriminada y masiva toda la infraestructura de IT. El objetivo real de cada iniciativa SOA debe ser responder a necesidades concretas de negocio y crear soluciones en pasos discretos, incrementales e iterativos. Puesto que representan procesos compartidos, es necesario que se les asigne un propietario para que puedan inventariarse y gestionarse a fin de garantizar que cumplen en todo momento con las directivas corporativas y responden adecuadamente a las necesidades que los justifican.

Ignorar el contexto empresarial puede dar origen a un proyecto donde la infraestructura SOA se implante sin motivo o donde las inversiones realizadas no tengan un correlato adecuado con las necesidades y prioridades de la propia empresa. Cada uno de estos servicios de negocio lleva debajo distintos servicios de grano fino o llamadas al API que se combinan para generar una capa de servicios de mayor alcance.

Esta capa de servicios se implementa en Northern Electronics utilizando desarrollos propios basados en. NET Framework 3. Los componentes extendidos de. Unique problems will still require unique solutions, but you can use design patterns to guide you in solving them. The first step is to consider logical layers. Note that layers are not the same as tiers, often confused or even assumed to be the same. Layers concern creating boundaries in your code. The top layer might have references to code in lower layers, but a layer can never have a reference to code in a higher layer.

Tiers concern physically distributing layers across multiple computers. For example, in a three-tier application, the user interface is designed to run on a desktop computer, the application logic is designed to run on an application server, and the database runs on a dedicated database server, and the code on each tier can consist of multiple layers.

Figure Basic three-layer organization. Layering refers to levels of abstraction. The layering shown in Figure is true for most applications.

These levels are also referred to as the three principal layers and might go by various other names. As a rule, code in the presentation layer might call on services in the application logic layer, but the application logic layer should not be calling method in the presentation layer.

The presentation layer should never call on the data access layer directly because doing so would bypass the responsibilities implemented by the application logic layer. The data access layer should never call the application logic layer. Layers are just an abstraction, and probably the easiest way to implement the layering is to create folders in your project and add code to the appropriate folder.

A more useful approach would be to place each layer in a separate project, thus creating separate assemblies. The advantage of placing the application logic in a library assembly is that this will enable you to create unit tests, using Microsoft Visual Studio or NUnit, to test the logic. It also creates flexibility in choosing where to deploy each layer.

In an enterprise application, you should expect to have multiple clients for the same logic. In fact, the very thing that makes an application an enterprise application is that it will be deployed to three tiers: client, application server, and database server. The Microsoft Office Access application created by the sales department in your enterprise, although very important to the sales department, does not constitute an enterprise application.

Note that the application logic and data access layers are usually deployed together to the application server. Part of drawing up the blueprint is choosing whether to access the application server by using. NET remoting or Web services. Regardless of choice, you will be adding some code to access easily the remote services in the presentation layer. NET will do the work for you and generate proxy code, automatically providing an implementation of the remote proxy pattern.

The three basic layers provide a high-level overview. The result is shown in Figure Focus on the application logic layer. When organizing services based on the actions of the user, you will be implementing application logic by offering services, each of which handles a specific request from the presentation layer. This is also known as the transaction script pattern. This approach is popular because it is simple and feels very natural. Examples of methods that follow this approach are BookStoreService.

CancelOrder int orderId. The logic needed to perform the action is implemented quite sequentially within the method, making it very readable but also harder to reuse the code. Using additional design patterns such as the table module pattern can help increase reusability. It is also possible to implement the decision flow of the application in a much more state-driven fashion. The services offered by the application server are more generic in nature, for example, BookStoreService.

SaveOrder Order order. This method will look at the state of the order and decide whether to add a new order or cancel an existing order. You must make a number of choices while designing your data structures. The first choice is the data storage mechanism, the second is the intended use of the data, and the third is the versioning requirements.

There are three ways of looking at data structure designs:. Choosing one of the three as the basis for your data flow structure should be done in an early stage of the design process.

A lot of companies have a company guideline that forces one of the three choices on all projects, but when possible, you should re-evaluate the options for each project, choosing the optimal approach for the project at hand. When designing your application, you will undoubtedly have to design some sort of data store. The following stores and forms of data storage are available:.

Each store has its own unique characteristics and might be suitable to specific requirements. Referred to as ADO. Data namespace. The complete separation of data carriers and data stores is an important design feature of ADO.

Classes such as the DataSet, DataTable, and DataRow are designed to hold data but retain no knowledge of where the data came from.

They are considered data-source agnostic. These classes are located in sub-namespaces such as System. Sql, System. OleDB, System. Oracle, and so on. Because the DataSet is not connected to the data source, it can be quite successfully used for managing the data flow in an application.

Figure shows the flow of data when doing so. The presentation layer has managed the state of the shopping cart. The customer is ready to order and has provided all necessary data. He chooses submit order. The Web page transforms all data into a DataSet holding two DataTables, one for the order and one for orderliness; inserts one DataRow for the order; and inserts three DataRows for the order lines.

The Web page then displays this data back to the user one more time, data binding controls against the DataSet, and asks Are you sure? The user confirms the order, and it is submitted to the application logic layer. If all is okay, the DataSet is passed on to the data access layer, which connects to the database and generates insert statements from the information in the DataSet. Using the DataSet in this manner is a fast and efficient way of building an application and using the power of the Framework Class Library and the ability of ASP.

Instead of using plain DataSet objects, you can use Typed DataSet objects and improve the coding experience when implementing code in both the presentation layer as well as in the application logic layer. The advantage of this approach is also the disadvantage of the approach. Small changes in the data model do not necessarily lead to a lot of methods having to change their signatures.

So in terms of maintenance, this works quite well. If you remember the presentation layer is not necessarily a user interface, it can just as well be a Web service. As you can imagine, this can lead to some significant problems. This scenario works well if the presentation layer is just a user interface, but for interfaces to external systems or components, you will want to hide the inner workings of your application and transform data into something other than a direct clone of your data model, and you will want to create Data Transfer Objects DTOs.

Data flow using ADO. NET is a very data-centric approach to managing the data flow. Data and logic are discrete. The other side of the spectrum is to take a more object-oriented approach. Here, classes are created to bundle data and behavior. The aim is to define classes that mimic data and behavior found in the business domain that the application is created for. The result is often referred to as a business object. The collection of business objects that make up the application is called the domain model.

Some developers claim that a rich domain model is better for designing more-complex logic. Just know that you have a choice, and it is up to you to make it. Now do the same walkthrough as you did before; imagine that someone has logged on to your bookstore and has ordered three books. The Web page transforms all data into a DTO, holding data for one order and with three order lines, creating the objects as needed.

NET 2. The user confirms the choice, and the DTO is submitted to the application logic layer. The application logic layer transforms the DTO into a business object of type Order having a property for holding three OrderLine objects. The method Order. To do this, the order will call Order.

If all is well, the Order. Save method is called. The order will submit itself to the object relational mapping layer, where the order and order lines are mapped to a DataTable in a DataSet, and the DataSet is passed to the data access layer, which connects to the database and generates insert statements from the information in the DataSet. There are, of course, many ways in which object relational mapping can take place, but not all will include transformation to a DataSet. Some will create the insert statements directly but still use the data access layer to execute that statement.

As you can see, quite a few transformations take place. The use of DTOs is needed because a business object implements behavior, and behavior is subject to change. To minimize the impact of these changes on the presentation layer, you need to transform the data, take it out of the business object and put it in a data transfer object. In Java, the data transfer object is normally referred to as a value object. A big advantage of working with business objects is that it really helps organize your code.

If you look back at a piece of complex logic, it is usually very readable because there is very little plumbing code. The disadvantage is that the majority of data stores are still relational, and the mapping of business objects to relational data can become quite complex.

You have just seen two opposites when it comes to managing the data flow. Many variations are possible. A common one is the variant in which a dataset is used as the basic data carrier from user interface to data store, but separate schemas DTOs are used for Web services that are called from other systems. The application layer transforms the relational data to a predefined schema. The main advantage of this is that any application that references the service is not depending on any kind of internal implementation of the component.

This allows more flexibility in versioning, backward compatibility of interfaces, and the ability to change the implementation of the component while not changing the interface of the service. Of course, you can use business objects in the Web application and skip the DTO transformation, but this usually works well only if the application logic is deployed together with the Web application. Remember that to call Order. Whether this is desirable is up to you as well as, probably, to your chief security officer.

Connection pooling enables the reuse of existing connections to reduce the overhead of continuously creating and disposing of connections that have the same configuration. In other words, opening and closing connections that use the same connection string and credentials can reuse a connection that is available in the pool.