How to implement mvc model in designing game architecture

I have a problem in implementing the mvc architecture in my game designing. I want you to suggest me how should I do it ?
I have created 3 packages viz : model , view , and controller
I am confused in which package should include canvas ? which should implement Runnable ? and what actually the model package must include ?
Also i would like to know that whatever dynamic active background is generated in my game play must it be treated as model or not ?

Hi
Here is a good article about this: http://www-128.ibm.com/developerworks/library/wi-arch6/?ca=drs-wi3704
Mihai

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How to implement MVC model?

Hi, I have a question on how to implement MVC model, that is, how will the GUI be informed that the data from the Model has been changed?
Suppose that I have two simple classes, Model and GUI. Model creates 10 integers each time, and then GUI draws some bars whose height is the integers. then after each time the integers has been created, how could GUI know?
Thanks!!!!

There is an Observer pattern specific to Google?I so implement the Google Observer pattern. ;o)Isn't that the (G)oogling Observer pattern? ;)

How to push Process model to design model?

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Mark Kramm

Hi Mark,
there is no support for applications and modules in Data Modeler.
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We'll add more utilization of definitions in process model in future releases.
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How to implement "colorise" hue/saturation in game development.

I am a game developer,
recently the art desiginer give me lots of image ,whitch changed color use photoshop colorise hue/saturation from one garyscale image .
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the common hue/saturation change can use colormatrix ,
but how to implement "colorise" hue/saturation in source code.

Thank You for the help.
As you said, I have change the color from garysacle to colorise.
Ignore the image quality that my code gen.
I have check my code many times,
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How to integrate EA Modeling and Design/Devl tooling (Jdev/OER/OSR)?

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Large modernization project – using the entire Oracle FMW stack that includes SOA Suite, BPM Suite, WebCenter Suite, OER/OSR governance. We have all the ‘pieces’ of software, just working on how to stitch it all together.
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How to integrate EA Modeling (Sparx EA) and Oracle Design/Devl tooling (JDev/OER/OSR)?
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Large modernization project – using the entire Oracle FMW stack that includes SOA Suite, BPM Suite, WebCenter Suite, OER/OSR governance. We have all the ‘pieces’ of software, just working on how to stitch it all together.
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EA Modeling will manage:
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JDev/SOA Governance will manage:
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Hello,
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Controller --??
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Can anybody help
Thanks,
Manju

* Model - The model represents enterprise data and the business rules that govern access to and updates of this data. Often the model serves as a software approximation to a real-world process, so simple real-world modeling techniques apply when defining the model.
* View -The view renders the contents of a model. It accesses enterprise data through the model and specifies how that data should be presented. It is the view's responsibility to maintain consistency in its presentation when the model changes. This can be achieved by using a push model, where the view registers itself with the model for change notifications, or a pull model, where the view is responsible for calling the model when it needs to retrieve the most current data.
* Controller - The controller translates interactions with the view into actions to be performed by the model. In a stand-alone GUI client, user interactions could be button clicks or menu selections, whereas in a Web application, they appear as GET and POST HTTP requests. The actions performed by the model include activating business processes or changing the state of the model. Based on the user interactions and the outcome of the model actions, the controller responds by selecting an appropriate view.
http://java.sun.com/blueprints/patterns/MVC-detailed.html

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</action>
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"<No Bindings>" node and select Create UI Model in appeared popup menu)
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-------------Sameer

http://jcp.org/aboutJava/communityprocess/final/jsr184/
http://developers.sun.com/mobility/apis/articles/3dgraphics/
http://www.amazon.de/Mobile-3D-Graphics-Learning-Micro/dp/1598632922

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Hi All,
Please let me know , How to implement the schedule workflow using Share Point Designer.
Thank You.
Regards,
~Sri

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Steven Andrews
SharePoint Business Analyst: LiveNation Entertainment
Blog: baron72.wordpress.com
Twitter: Follow @backpackerd00d
My Wiki Articles:
CodePlex Corner Series
Please remember to mark your question as "answered" if this solves (or helps) your problem.

Is there a way to specify MVC model in a Wizard?

I am fairly new to JDeveloper so forgive me if I ask a stupid question....
In a past web project I used IBM Websphere and Visual Age developing environments. For an upcoming project I am going to be using JDeveloper but with the same basic MVC architecture with the Servlets being the Controllers and JSP as the View. In Websphere there was a wizard that we could use to create a Java Bean based on our SQL statement. Within this wizard we could also select what 'model' we wanted to use and if we chose 'Servlet model' it would not only create the Java Bean but it would also crate the corresponding Servlet, XML file and JSP. All we had to do after that was bring up the JSP in the test environment and everything was hooked together already. If it was a simple select statement then the JSP displayed the results in a table. The JSP could then be facncied up or whatever. What I want to know is if there is something similar to that in JDeveloper. I know there are wizards to create Servlets and JSPs but is there any way to specifiy a 'model' and have everything to connected up without manually going into the code and doing it? I know this is kinda cheating and being lazy but I just wanted to ask if this type of feature existed before going ahead and doing unneccessary work. So if anyone can follow what I am saying and has an answer or perhaps can direct me to some documentation, that would be much appreciated. Thanks in advance for your help!
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Janis,
JDeveloper ships with a handy, built-in J2EE application framework called Business Components for Java that provides a full-functionality J2EE MVC model layer for you.
You can get a nice overview of the framework's functionality from this whitepaper:
Simplify J2EE Applications with the Oracle BC4J Framework
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Implement Collections of Value Objects for MVC Apps with BC4J
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[list]
[*]Create a new connection in the System Navigator
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[*]On the last panel of the BC4J package wizard, you can select existing tables to reverse-engineer into framework data-access and business logic components (view objects and entity objects, respectively)
[*]Then, you can use one of our other wizards to produce, for example, a BC4J+Struts application, a BC4J+JSP application, or a BC4J+JClient/Swing (rich client) application
[list]
Hope this helps.

MVC model in Web systems and applications

MVC model in Web systems and applications
Object-oriented design model is experience, MVC idea is a user interface for the original. This article discusses how the major application areas in the new Web design patterns and the use of MVC framework. The article first introduced the concept of design patterns and characteristics, and MVC architecture design concepts and analysis of the MVC framework contains several key models. Based on the characteristics of Web applications on how to use patterns and MVC framework made some design ideas.??
1. Introduction
1.1 design model
Object-oriented technology and the emergence of software applications has greatly enhanced the trusted and software quality. Object-oriented programming than previous models to various programming simple and efficient, but the object-oriented design methodology than the previous design methods to complex and much more skill, a good design should be both on the issue of gender, but also to take full account of the problems and needs sufficient interoperability. In the past 10 years, people in the object-oriented technology and the practical application of research to explore certain issues in relation to the creation of a number of good solutions, the so-called object-oriented design patterns. Object-oriented technology is one of the purposes of enhancing the software trusted, and to design model, design programmes in important positions from a deeper sense of meaning and essence embodies trusted. There are many people in the design model definition, which cited Christopher Alexander is the largest design model definition : Each design model is a tripartite rule, which expresses a contextual environment (Context), a problem and a solution. Design models generally following basic elements : model name, the purpose solution effect 1995-1998 code and related design models. There are several classifications design patterns can be divided into a model based on the purpose (Creational), structural type (Structural) and the type of behaviour (Behavioral) three. It is mainly used in the creation of a model-based object model-based structure to deal primarily with the category or combination of objects, used to describe behavior-based model is the main target for the category or how stress and how to allocate responsibilities. Design patterns can be divided into categories based on the scope and target mode model type model dealing with the relationship between the categories and sub-categories, these relations through the establishment of succession in Translation moment to be finalized, are static. Model is targeted at addressing the relationship between the moment of change these relations in the operation, more dynamic. Model features : through the experience acquired in a structured format to write down, avoid encountering the same problems on the first design, exist in different abstract level, in continuous improvement, can be trusted artificial product for the design and best practice in the world to be combined to address larger issues.
1.2 MVC framework
MVC was first used in a user interface Smalltalk-80 China. M representative models Model, representatives maps View V, C representatives controller Controller. MVC trusted code with the aim of increasing the rate of data reduction expressed, the data describing the operation and application coupled degrees. Also makes software Keweihuxing, restorative, expansionary, flexibility and packaging of greatly enhanced. Single-user applications are usually incident-driven user interface to the organizational structure. Staff development tool with an interface painting of a user interface interface code based on user input and then prepare to implement the corresponding moves, many interactive development environment encouraged to do so, because it emphasizes first and then a functional interface. Some software design model is the strategy that will be fixed before the code into the regular system of the final. Result is that the procedures and organizations around the user interface elements in the user interface elements of those moves, data storage, applications and functions of the code is used to indicate the way intertwined. In single-user system code structure can be so, because the system will not demand frequent changes. But for a large system such as large Web systems, or e-commerce systems to be applied. Model by incorporating data from a variety of access and control data can be separated to improve distributed system design. MVC design pattern is composed of three parts. Model is the application object, no user interface. Type in the screen showing that it represents the flow of data users. Controller user interface definition response to user input, the users responsible for the action against the Model into operation. Model View data updated to reflect the adoption of data changes.
2. MVC design pattern,
An MVC framework for the design of the system includes many models, but with MVC is most closely related to the following three models : Observer, Cambridge and Strategy.
2.1 Observer models
MVC through the use of purchase / notification form and the separation of the Model View. View to ensure that their content accurately reflected Model and state. Once Model content changes, there must be a mechanism to allow notification to the relevant Model View, View can be made relevant at the appropriate time updating of data. This design is also more general problems can be solved, the target separation, making a change to the target audience affect others, which targets those who do not know the details of the object being affected. This is described as Observer in the design model. Model type : Observer model is the object-oriented model, it is behaviour-based model. Model purposes : definition of hierarchical dependence relations between objects, or when a target value of the state change, all its dependent relationship with the object are notified and automatically updated. There are a variety of data may show a way, in different ways and may also show. When a way through a changed data, then the other should be able to show immediately that the data change and do accordingly.
Effect :
1. Abstract coupling. I only know that it has a target audience of some observers, the observers met each abstract Observer category simple interface, does not know their specific affiliation categories. This makes the coupling between goals and observers smallest and abstract.
2. Support radio communications. Needless to notify designated observers goals, how to deal with the observer informed decisions.
3. Possible accidents updated. We update logic, avoiding mistakes updated.
2.2 Faculty model
MVC is an important feature of View can nest. Nest can be used for any type of combination of local maps available, but also management of type nest. This thinking reflects the type and mix of components will be equal treatment design. This object-oriented design ideas in the area of Cambridge has been described as a design model. Model types : Cambridge model is the object-oriented model, it is also the structure type model. Model purpose : to target portfolio into tree structures to express "part-whole" level structure. Prepared for the use and combination of individual target audiences with the use of consistency.
Effect :
1. Definition of a target portfolio includes simple objects and the structure of the category level. Simple objects may be complex combinations of objects, and can be targeted portfolio mix. This customer-code used in the target areas can use simple combinations target.
2. Simplify customer-code. Needless to know their customers - a mix of target audiences is a simple target or can use these items in a consistent manner.
3. Easier to add new types of components. New components can easily be changed to a combination of customer-targeted codes.
2.3 Strategy model
Another important characteristic is the MVC can not change the View of changes View response to user input. This often requires a change in response to the logic of the system is very important. MVC to respond to the logic involved in the Controller. Controller of a category level structure could easily change to the original Controller appropriate, a new Controller. View Controller son used to achieve a specific example of such a response strategy. To achieve different response strategy, as long as examples of the use of different types of replacement will Controller. Also in the running time by changing the View Controller for users to change View of response strategies. This View-Controller relationship was described as an example of Strategy design pattern. Model types : Strategy model is the object-oriented model, it is behaviour-based model. Model purposes : definition of a series of algorithms, and their packaging, and ensure that they can replace each other, making algorithms can independently use its customer-change.
Effect :
1. Strategy category levels for Context definition of the relevant algorithms can be trusted or behaviour.
2. Alternative methods of succession. If the direct successor Context, with different acts will be added Context act, the realization of which would algorithm mixed up with Context, Context hard to preserve and expand, but can not dynamically changing algorithms. Will be enclosed in a separate Strategy category algorithms to enable algorithm independent Context change easily cut over expansion.
3. Can provide the same acts different date.
4. Strategy-must understand what customers between different.
5. Context and Strategy communications between costs.
6. An increase in the number of targets.
3. MVC in Web application system
Now some of the distributed systems such as Web-based B2B e-commerce system, suitable for use MVC framework. Through analysis from the perspective of high-level applications can be a target divided into three categories. Category is shown for the target audience consists of a group of commercial rules and data, there is a category that is receiving requests to control commercial target to complete the request. These applications often need to change is shown, such as web style, color, but also need to demonstrate the contents of the display. And the business rules and data to be relatively stable. Therefore, said that the frequent need to change the View objects that the business rules and data model to be relatively stable target, and that the control of the Controller is the most stable. When the system is usually issued after the View objects by artists, designers or HTML/JSP system managers to manage. Controller target applications development personnel from the development and implementation of rules for commercial and business development personnel from the target data, database managers and experts in the field of common completed. Show in Web?? or customers - control logic can be Servlet or JSP, dynamically generated Html. Generally used Servlet better than using JSP. JSP will be better with the Html code of separate codes for page designers and developers of separation efficiency. Servlet and JSP can complete all complete functions, actually JSP eventually converted into a Servlet. And control of the target system exists in every level, the coordination of cross-layer moves. Contain business rules and data objects exist in the EJB layer (EJB-centred model) or Web?? (Web-centred model).
3.1 View in the Web application system
View of the system shows that it fully exist in Web??. General by JSP, Java Bean and Custom Tag. JSP can generate dynamic web content using Java Custom Tag easier Bean, but it can show the logic of packaging, and more conducive to modular trusted. Some well-designed in a number of JSP Custom Tag can even be used in different system duplication. Model for control of JSP and Java Bean objects. JSP through Java Bean objects to retrieve the data model, the Model and Controller object is responsible for updating the data on Java Bean. In general, can we devise all possible screen that users can see all the elements of the system. Based on these elements, to identify the public part of passive components and dynamics. Can consider the use of templates means to separate the content generated JSP public, also need to change their generation Html or JSP from a JSP templates to dynamically introduce these different parts (include methods). Another issue to consider is screen option, when dealing with End users request template automatically available to show that the concern that users must know what is the screen components. So can consider all screens on the definition of a centralized document, such as a document or text document java. Taking into account the possibility of changes in future document definition screens, the best use of text documents such as a XML document, so future changes to the recompilation. According to the URL and user input parameters to shine upon the results of a screen, of course, likely to be made on the basis of the outcome of the implementation of actions to choose different results screen. Therefore, the need for a request for matching resources with document (XML), if a URL request several different results, it must specify in the document need to control the flow (a controller object), as well as the corresponding screen different flows.
3.2 Model in the Web application system
Model objects represent business rules and business data exist in EJB layer and Web??. In J2EE norms, the system needs some data stored in the database, such as user account information (account model), the company's data (company model), some not recorded in the database. If a user browsing the current catalogue (catalog model), the contents of his shopping (shopping cart model). Which one of these models exist in the data according to their life cycle and scope to decide. In Web?? a HttpSession and ServletContext and Java Bean objects to store data in the EJB layer is a data storage and logic EJB to. Web?? the Java Bean objects stored in the model layer model of the EJB object data copy. Because there are many different EJB tier model targets, so Web?? through a ModelManager to control the EJB layer object model in ModelManger background model can be used for packaging methods. In the EJB layer and the rules have all the data into EJB model is inappropriate. If the database can visit the Dao object model into objects. Dao can be encapsulated and the specific details of the database in the world, if we can write a different table, a number of databases, or even multiple databases. If the orders can be a model for OrderDAO, it may have to deal with Order table, table and OrderItemLines OrderStatus table. Value can also consider the use of targets. Value can be a target of securing long-range targets, because every time the remote object attributes could be a long-range redeployment process will consume network resources. EJB objects in the distance can be used instead target. In the distance, one-time items to be targeted instead of the value of all attributes.
3.3 Controller in Web application system
Coordination with the Model View Controller object to the request of users into the system to identify incidents. In Web?? generally a MainServlet (or Main.jsp), and receiving all requests, it can use screen flow management devices (ScreenFlowManger) decided next screen. There is a general request processors RequestProcessor contains all requests are needed to be done to deal with logic, such as the request translated into system events (RequestToEvent). Acting processors usually also includes a request for ClientControlWebImpl, it is logical to deal with the EJB layer in Web?? Acting. In EJB layer, a layer for EJB tier Web ClientController provide the CD visit. Another StateMachine used to create and delete ejb handle Web?? sent to the incident. Controller Another important function is synchronous View and Model data. ModelManger contained in a ModelUpdateManger, it puts events into a Model System assembly that all the needs of synchronous Model, and then notify Listeners do synchronous operation.
4. Concluding remarks
In recent years, with the Internet technology development and the emergence of new business models, the Web is based on a large number of applications. On how to design these systems architecture, and gradually there has been some convergence of opinion, the most important point is that its structure should be rational in the open. Demand than ever faster development of technology and design concepts, systems for the future, the cost of upgrading the smallest, research software systems architecture still very useful and necessary.

Bravo. And your point is?

What is BI ? How we implement & what is the cost to implement ?

What is BI ? How we implement & what is the cost to implement ?
Thanks,
Sumit.

Hi Sumit,
                    Below is the description according to ur query
Business Intelligence is a process for increasing the competitive advantage of a business by intelligent use of available data in decision making. This process is pictured below.
The five key stages of Business Intelligence:
1.     Data Sourcing
2.     Data Analysis
3.     Situation Awareness
4.     Risk Assessment
5.     Decision Support
Data sourcing
Business Intelligence is about extracting information from multiple sources of data. The data might be: text documents - e.g. memos or reports or email messages; photographs and images; sounds; formatted tables; web pages and URL lists. The key to data sourcing is to obtain the information in electronic form. So typical sources of data might include: scanners; digital cameras; database queries; web searches; computer file access; etcetera.
Data analysis
Business Intelligence is about synthesizing useful knowledge from collections of data. It is about estimating current trends, integrating and summarising disparate information, validating models of understanding, and predicting missing information or future trends. This process of data analysis is also called data mining or knowledge discovery. Typical analysis tools might use:-
u2022     probability theory - e.g. classification, clustering and Bayesian networks;
u2022     statistical methods - e.g. regression;
u2022     operations research - e.g. queuing and scheduling;
u2022     artificial intelligence - e.g. neural networks and fuzzy logic.
Situation awareness
Business Intelligence is about filtering out irrelevant information, and setting the remaining information in the context of the business and its environment. The user needs the key items of information relevant to his or her needs, and summaries that are syntheses of all the relevant data (market forces, government policy etc.). Situation awareness is the grasp of the context in which to understand and make decisions. Algorithms for situation assessment provide such syntheses automatically.
Risk assessment
Business Intelligence is about discovering what plausible actions might be taken, or decisions made, at different times. It is about helping you weigh up the current and future risk, cost or benefit of taking one action over another, or making one decision versus another. It is about inferring and summarising your best options or choices.
Decision support
Business Intelligence is about using information wisely. It aims to provide warning you of important events, such as takeovers, market changes, and poor staff performance, so that you can take preventative steps. It seeks to help you analyse and make better business decisions, to improve sales or customer satisfaction or staff morale. It presents the information you need, when you need it.
This section describes how we are using extraction, transformation and loading (ETL) processes and a data warehouse architecture to build our enterprise-wide data warehouse in incremental project steps. Before an enterprise-wide data warehouse could be delivered, an integrated architecture and a companion implementation methodology needed to be adopted. A productive and flexible tool set was also required to support ETL processes and the data warehouse architecture in a production service environment. The resulting data warehouse architecture has the following four principal components:
u2022 Data Sources
u2022 Data Warehouses
u2022 Data Marts
u2022 Publication Services
ETL processing occurs between data sources and the data warehouse, between the data warehouse and data marts and may also be used within the data warehouse and data marts.
Data Sources
The university has a multitude of data sources residing in different Data Base Management System (DBMS) tables and non-DBMS data sets. To ensure that all relevant data source candidates were identified, a physical inventory and logical inventory was conducted. The compilation of these inventories ensures that we have an enterprise-wide view of the university data resource.
The physical inventory was comprised of a review of DBMS cataloged tables as well as data sets used by business processes. These data sets had been identified through developing the enterprise-wide information needs model.
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The logical inventory was constructed from u201Cbrain-stormingu201D sessions which focused on common key business terms which must be referenced when articulating the institutionu2019s vision and mission (strategic direction, goals, strategies, objectives and activities). Once the primary terms were identified, they were organized into directories such as u201CProjectu201D, u201CLocationu201D, u201CAcademic Entityu201D, u201CUniversity Personu201D, u201CBudget Envelopeu201D etc. Relationships were identified by recognizing u201Cnatural linkagesu201D within and among directories, and the u201Cdrill-downsu201D and u201Croll-upsu201D that were required to support u201Creport byu201D and u201Creport onu201D information hierarchies. This exercise allowed the directories to be sub-divided into hierarchies of business terms which were useful for presentation and validation purposes.
We called this important deliverable the u201CConceptual Data Modelu201D (CDM) and it was used as the consolidated conceptual (paper) view of all of the Universityu2019s diverse data sources. The CDM was then subjected to a university-wide consultative process to solicit feedback and communicate to the university community that this model would be adopted by the Business Intelligence (BI) project as a governance model in managing the incremental development of its enterprise-wide data warehousing project.
Data Warehouse
This component of our data warehouse architecture (DWA) is used to supply quality data to the many different data marts in a flexible, consistent and cohesive manner. It is a u2018landing zoneu2019 for inbound data sources and an organizational and re-structuring area for implementing data, information and statistical modeling. This is where business rules which measure and enforce data quality standards for data collection in the source systems are tested and evaluated against appropriate data quality business rules/standards which are required to perform the data, information and statistical modeling described previously.
Inbound data that does not meet data warehouse data quality business rules is not loaded into the data warehouse (for example, if a hierarchy is incomplete). While it is desirable for rejected and corrected records to occur in the operational system, if this is not possible then start dates for when the data can begin to be collected into the data warehouse may need to be adjusted in order to accommodate necessary source systems data entry u201Cre-worku201D. Existing systems and procedures may need modification in order to permanently accommodate required data warehouse data quality measures. Severe situations may occur in which new data entry collection transactions or entire systems will need to be either built or acquired.
We have found that a powerful and flexible extraction, transformation and loading (ETL) process is to use Structured Query Language (SQL) views on host database management systems (DBMS) in conjunction with a good ETL tool such as SAS® ETL Studio. This tool enables you to perform the following tasks:
u2022 The extraction of data from operational data stores
u2022 The transformation of this data
u2022 The loading of the extracted data into your data warehouse or data mart
When the data source is a u201Cnon-DBMSu201D data set it may be advantageous to pre-convert this into a SAS® data set to standardize data warehouse metadata definitions. Then it may be captured by SAS® ETL Studio and included in the data warehouse along with any DBMS source tables using consistent metadata terms. SAS® data sets, non-SAS® data sets, and any DBMS table will provide the SAS® ETL tool with all of the necessary metadata required to facilitate productive extraction, transformation and loading (ETL) work.
Having the ability to utilize standard structured query language (SQL) views on host DBMS systems and within SAS® is a great advantage for ETL processing. The views can serve as data quality filters without having to write any procedural code. The option exists to u201Cmaterializeu201D these views on the host systems or leave them u201Cun-materializedu201D on the hosts and u201Cmaterializeu201D them on the target data structure defined in the SAS® ETL process. These choices may be applied differentially depending upon whether you are working with u201Ccurrent onlyu201D or u201Ctime seriesu201D data. Different deployment configurations may be chosen based upon performance issues or cost considerations. The flexibility of choosing different deployment options based upon these factors is a considerable advantage.
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Data Marts
This component of the data warehouse architecture may manifest as the following:
u2022 Customer u201Cvisibleu201D relational tables
u2022 OLAP cubes
u2022 Pre-determined parameterized and non-parameterized reports
u2022 Ad-hoc reports
u2022 Spreadsheet applications with pre-populated work sheets and pivot tables
u2022 Data visualization graphics
u2022 Dashboard/scorecards for performance indicator applications
Typically a business intelligence (BI) project may be scoped to deliver an agreed upon set of data marts in a project. Once these have been well specified, the conceptual data model (CDM) is used to determine what parts need to be built or used as a reference to conform the inbound data from any new project. After the detailed data mart specifications (DDMS) have been verified and the conceptual data model (CDM) components determined, a source and target logical data model (LDM) can be designed to integrate the detailed data mart specification (DDMS) and conceptual data model (CMD). An extraction, transformation and loading (ETL) process can then be set up and scheduled to populate the logical data models (LDM) from the required data sources and assist with any time series and data audit change control requirements.
Over time as more and more data marts and logical data models (LDMu2019s) are built the conceptual data model (CDM) becomes more complete. One very important advantage to this implementation methodology is that the order of the data marts and logical data models can be entirely driven by project priority, project budget allocation and time-to-completion constraints/requirements. This data warehouse architecture implementation methodology does not need to dictate project priorities or project scope as long as the conceptual data model (CDM) exercise has been successfully completed before the first project request is initiated.
McMasteru2019s Data Warehouse design
DevelopmentTestProductionWarehouseWarehouseWarehouseOtherDB2 OperationalOracle OperationalETLETLETLETLETLETLETLETLETLDataMartsETLETLETLDataMartsDataMartsDB2/Oracle BIToolBIToolBIToolNoNoUserUserAccessAccessUserUserAccessAccess(SAS (SAS Data sets)Data sets)Staging Area 5
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Publication Services
This is the visible presentation environment that business intelligence (BI) customers will use to interact with the published data mart deliverables. The SAS® Information Delivery Portal will be utilized as a web delivery channel to deliver a u201Cone-stop information shoppingu201D solution. This software solution provides an interface to access enterprise data, applications and information. It is built on top of the SAS Business Intelligence Architecture, provides a single point of entry and provides a Portal API for application development. All of our canned reports generated through SAS® Enterprise Guide, along with a web-based query and reporting tool (SAS® Web Report Studio) will be accessed through this publication channel.
Using the portalu2019s personalization features we have customized it for a McMaster u201Clook and feelu201D. Information is organized using pages and portlets and our stakeholders will have access to public pages along with private portlets based on role authorization rules. Stakeholders will also be able to access SAS® data sets from within Microsoft Word and Microsoft Excel using the SAS® Add-In for Microsoft Office. This tool will enable our stakeholders to execute stored processes (a SAS® program which is hosted on a server) and embed the results in their documents and spreadsheets. Within Excel, the SAS® Add-In can:
u2022 Access and view SAS® data sources
u2022 Access and view any other data source that is available from a SAS® server
u2022 Analyze SAS® or Excel data using analytic tasks
The SAS® Add-In for Microsoft Office will not be accessed through the SAS® Information Delivery Portal as this is a client component which will be installed on individual personal computers by members of our Client Services group. Future stages of the project will include interactive reports (drill-down through OLAP cubes) as well as balanced scorecards to measure performance indicators (through SAS® Strategic Performance Management software). This, along with event notification messages, will all be delivered through the SAS® Information Delivery Portal.
Publication is also channeled according to audience with appropriate security and privacy rules.
SECURITY u2013 AUTHENTICATION AND AUTHORIZATION
The business value derived from using the SAS® Value Chain Analytics includes an authoritative and secure environment for data management and reporting. A data warehouse may be categorized as a u201Ccollection of integrated databases designed to support managerial decision making and problem solving functionsu201D and u201Ccontains both highly detailed and summarized historical data relating to various categories, subjects, or areasu201D. Implementation of the research funding data mart at McMaster has meant that our stakeholders now have electronic access to data which previously was not widely disseminated. Stakeholders are now able to gain timely access to this data in the form that best matches their current information needs. Security requirements are being addressed taking into consideration the following:
u2022 Data identification
u2022 Data classification
u2022 Value of the data
u2022 Identifying any data security vulnerabilities
u2022 Identifying data protection measures and associated costs
u2022 Selection of cost-effective security measures
u2022 Evaluation of effectiveness of security measures
At McMaster access to data involves both authentication and authorization. Authentication may be defined as the process of verifying the identity of a person or process within the guidelines of a specific
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security policy (who you are). Authorization is the process of determining which permissions the user has for which resources (permissions). Authentication is also a prerequisite for authorization. At McMaster business intelligence (BI) services that are not public require a sign on with a single university-wide login identifier which is currently authenticated using the Microsoft Active Directory. After a successful authentication the SAS® university login identifier can be used by the SAS® Meta data server. No passwords are ever stored in SAS®. Future plans at the university call for this authentication to be done using Kerberos.
At McMaster aggregate information will be open to all. Granular security is being implemented as required through a combination of SAS® Information Maps and stored processes. SAS® Information Maps consist of metadata that describe a data warehouse in business terms. Through using SAS® Information Map Studio which is an application used to create, edit and manage SAS® Information Maps, we will determine what data our stakeholders will be accessing through either SAS® Web Report Studio (ability to create reports) or SAS® Information Delivery Portal (ability to view only). Previously access to data residing in DB-2 tables was granted by creating views using structured query language (SQL). Information maps are much more powerful as they capture metadata about allowable usage and query generation rules. They also describe what can be done, are database independent and can cross databases and they hide the physical structure of the data from the business user. Since query code is generated in the background, the business user does not need to know structured query language (SQL). As well as using Information Maps, we will also be using SAS® stored processes to implement role based granular security.
At the university some business intelligence (BI) services are targeted for particular roles such as researchers. The primary investigator role of a research project needs access to current and past research funding data at both the summary and detail levels for their research project. A SAS® stored process (a SAS® program which is hosted on a server) is used to determine the employee number of the login by checking a common university directory and then filtering the research data mart to selectively provide only the data that is relevant for the researcher who has signed onto the decision support portal.
Other business intelligence (BI) services are targeted for particular roles such as Vice-Presidents, Deans, Chairs, Directors, Managers and their Staff. SAS® stored processes are used as described above with the exception that they filter data on the basis of positions and organizational affiliations. When individuals change jobs or new appointments occur the authorized business intelligence (BI) data will always be correctly presented.
As the SAS® stored process can be executed from many environments (for example, SAS® Web Report Studio, SAS® Add-In for Microsoft Office, SAS® Enterprise Guide) authorization rules are consistently applied across all environments on a timely basis. There is also potential in the future to automatically customize web portals and event notifications based upon the particular role of the person who has signed onto the SAS® Information Delivery Portal.
ARCHITECTURE (PRODUCTION ENVIRONMENT)
We are currently in the planning stages for building a scalable, sustainable infrastructure which will support a scaled deployment of the SAS® Value Chain Analytics. We are considering implementing the following three-tier platform which will allow us to scale horizontally in the future:
Our development environment consists of a server with 2 x Intel Xeon 2.8GHz Processors, 2GB of RAM and is running Windows 2000 u2013 Service Pack 4.
We are considering the following for the scaled roll-out of our production environment.
A. Hardware
1. Server 1 - SAS® Data Server
- 4 way 64 bit 1.5Ghz Itanium2 server
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- 16 Gb RAM
- 2 73 Gb Drives (RAID 1) for the OS
- 1 10/100/1Gb Cu Ethernet card
- 1 Windows 2003 Enterprise Edition for Itanium
2 Mid-Tier (Web) Server
- 2 way 32 bit 3Ghz Xeon Server
- 4 Gb RAM
- 1 10/100/1Gb Cu Ethernet card
- 1 Windows 2003 Enterprise Edition for x86
3. SAN Drive Array (modular and can grow with the warehouse)
- 6 u2013 72GB Drives (RAID 5) total 360GB for SAS® and Data
B. Software
1. Server 1 - SAS® Data Server
- SAS® 9.1.3
- SAS® Metadata Server
- SAS® WorkSpace Server
- SAS® Stored Process Server
- Platform JobScheduler
2. Mid -Tier Server
- SAS® Web Report Studio
- SAS® Information Delivery Portal
- BEA Web Logic for future SAS® SPM Platform
- Xythos Web File System (WFS)
3. Client u2013Tier Server
- SAS® Enterprise Guide
- SAS® Add-In for Microsoft Office
REPORTING
We have created a number of parameterized stored processes using SAS® Enterprise Guide, which our stakeholders will access as both static (HTML as well as PDF documents) and interactive reports (drill-down) through SAS® Web Report Studio and the SAS® Add-In for Microsoft Office. All canned reports along with SAS® Web Report Studio will be accessed through the SAS® Information Delivery Portal.
NEXT STEPS
Next steps of the project include development of a financial data mart along with appropriate data quality standards, monthly frozen snapshots and implementation of university-wide financial reporting standards. This will facilitate electronic access to integrated financial information necessary for the development and maintenance of an integrated, multi-year financial planning framework. Canned reports to include monthly web-based financial statements, with drill-down capability along with budget templates automatically populated with data values and saved in different workbooks for different subgroups (for example by Department). The later will be accomplished using Microsoft Direct Data Exchange (DDE).
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As well, we will begin the implementation of SAS® Strategic Performance Management Software to support the performance measurement and monitoring initiative that is a fundamental component of McMasteru2019s strategic plan. This tool will assist in critically assessing and identifying meaningful and statistically relevant measures and indicators. This software can perform causal analyses among various measures within and across areas providing useful information on inter-relationships between factors and measures. As well as demonstrating how decisions in one area affect other areas, these cause-and-effect analyses can reveal both good performance drivers and also possible detractors and enable u2018evidenced-basedu2019 decision-making. Finally, the tool provides a balanced scorecard reporting format, designed to identify statistically significant trends and results that can be tailored to the specific goals, objectives and measures of the various operational areas of the University.
LESSONS LEARNED
Lessons learned include the importance of taking a consultative approach not only in assessing information needs, but also in building data hierarchies, understanding subject matter, and in prioritizing tasks to best support decision making and inform senior management. We found that a combination of training and mentoring (knowledge transfer) helped us accelerate learning the new tools. It was very important to ensure that time and resources were committed to complete the necessary planning and data quality initiatives prior to initiating the first project. When developing a project plan, it is important to

How to Implement BW in IT Service Desk/IT Help Desk /IT Complain Surveillance Dept/IT Customer Support Dept?

Hi
If a organization have 200 to 300 daily complains of there IT equipment/Software/Network e.t.c.
How to Implement BW in IT Service Desk/IT Help Desk /IT Complain Surveillance Dept/IT Customer Support Dept?
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Imran,
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