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Part of the problem here is that regulators invent and impose new rules on an ad hoc basis and do not consider implementation in a holistic enterprise Therefore they legislate part of the problem and must become a part of the solution Everyone must address what we call the balance of consequences problem Therefore, in this example, there are ve efdoms with stovepiped data and a central data hub that may or may not have some or all of the data Now it is 2010 and the 10-year old data center has grown technically obsolete The department executive plans to address the data center problem, but in the meantime, divisions have increasing demands and are impatient The department executive, who is a new appointee, says, We need a data governance policy A data governance policy might be a good thing to employ to provide direction to the situation But what is the purpose of the policy What is the desired outcome Fortunately, the Federal CIO Council has, at the direction of the Of ce of Management and Budget (OMB), identi ed this broad area in one of its top objectives: Implement the Data Reference Model (DRM) as a common framework for managing and storing information across the Federal Government [1] With the outcome being interoperable IT solutions Yet, this top level objective that is slated for accomplishment by 2010 will come too late to address the department s tactical needs immediately (See Table 31) The purpose of the policy and the desired outcome is a paradigm shift that allows for interoperable, optimized, and methodologically sound smart data that can be used between and across organizations, to improve performance, ef ciencies, and effectiveness, while making the organization more competitive Investigate how to make the environment open and interoperable in an enterprise context Is the current infrastructure suitable to support smart data and smart data strategy What must change What is the cost to change expressed in time to change and capital investment What unique resources and capabilities are required What are the expected improvements How soon can improvements be realized Addressing smart data and smart data strategy development and improvement in an enterprise context will involve communications with other enterprise partners, and ultimately with customers Smart data will become a catalyst for change and improvement as new improvement opportunities are discovered in the process New technology partners may be needed Bear in mind that it is better to accomplish quality change than it is o attempt too much at once Executives should follow through with a plan and schedule iterative improvements driven by the highest priority needs of the business Smart Storage This strategy requires smart storage as part of the smart grid of interoperable services A storage area network (SAN) is an architecture that ts our strategy A SAN is used to attach remote computer storage devices to servers in such a way that the devices appear as locally attached to the operating system, much like our cloud computing.

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within his or her applet or application The current Java documentation gives the types of the parameters, the name of the method, its access status and a brief description of what it does It is important to point out that some of the classes found within the Java library are abstract classes: classes which have place holder methods which do not implement any code (for an explanation of such abstract methods see 5) A good example of such a method within the util package is the class Dictionary This class is inherited by the class Hashtable to produce a class which is not abstract It is also important to point out that quite a large number of classes store objects which are described by the class Object This means that they can store a wide variety of objects as described in 5 Another important point to make is that the description of the methods within the Java class library often reference the exceptions which will be raised whenever an error condition occurs such as an attempt to store a value within a data structure when that data structure is full 621 The Vector class This is one of the most useful classes in the util package; one which e find ourselves using quite a lot within applets or applications It describes objects which look like arrays in that they are indexable, but they differ from arrays in that they can extend themselves This means that if a Vector object finds itself running out of space it can request more space from the Java run-time system to extend itself It is important to point out that by describing the Vector class we are not elevating it in importance above other classes in the Java libraries, we are just using it as an example The Vector class is associated with three instance variables The first is capacityIncrement which specifies the increase in storage which will be added to a vector when it runs out of space If this instance variable is zero then the capacity of a Vector object is doubled when it runs out of space The second is elementCount which contains the number of elements in the vector The third is elementData which is an array where the items in the Vector object are stored There are three constructor methods associated with vectors Vector with two int arguments sets up an empty vector with the first parameter holding the number of items that the vector is assumed to hold and the second parameter specifying the increase in size when the vector becomes full Vector with one argument sets up an empty vector with the sole argument specifying the initial capacity of the vector This constructor sets the capacityIncrement instance variable to zero, ensuring that the capacity of a Vector object is doubled whenever it runs out of space The final constructor is Vector without any arguments The size of the vector is set to a system-defined default with any Vector objects instantiated in this way doubling their size when they run out of capacity Thus: Vector smallQ = new Vector(20, 3), largeQ = new Vector(), medQ = new Vector(1100); declares three Vector identifiers It declares the first vector smallQ to initially contain 20 elements with the size of the object being incremented by 3 whenever it runs out of space It declares the Vector largeQ to contain the system default of the number of items initially assumed to be held in the vector and assumes the vector s size will be doubled whenever it runs out of space The final declaration in-.

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list these In practice, the process is strewn with ambiguities, misconceptions, misunderstandings, variations on the use of jargon and even basic vocabulary, leading to misrepresentation, subterfuge and, in some cases, lawsuits It is dif cult for technical developers to fully understand a customer s description of what may be the basic tasks of their business every business has its own vocabulary and many business vocabularies re-use common words to mean different things In most cases, it is even more dif cult for a customer to fully appreciate what a software developer is explaining to them For a start, their immediate concerns are steeped in their own domain of business, and anything they are told by developers will be interpreted according to this The term storage, for example, means ling cabinets, cupboards and box rooms to most people, and presents a fairly simple set of concepts to comprehend To a software developer, storage represents a set of software and hardware mechanisms involving a complex set of trade-offs between quantity and speed of access, and in which structure can be paramount No wonder communication is dif cult Of course, it is the job of the software developer to understand the customer s requirements the customer should not have to work too hard to follow the developer s explanations For a big project, this may mean the developers becoming expert in the customer s subject domain many software developers are expert in accounting, physics, defence models, etc, simply because they have worked in that area over a long period Here s an example of the initial requirements statement for a system: A new software system for a travel agency is to incorporate facilities for booking holidays, including accommodation and travel, exchanging foreign currency and billing customers Agency workers should be able to record the details of customers and their holiday requirements, book package holidays, individual ights and accommodation, issue invoices for these to the customers and exchange local currency for foreign money From the outset, developers will know that this feature will have exacting technical requirements Speed of access will be a factor (quick retrieval of information will be essential if customers on the phone are not to be kept waiting), as will storage capacity, integration with he rest of the system and several other factors However, at the requirements speci cation phase, technical constraints are to be actively ignored; what is to be done is the only question that should be pursued Otherwise, the software design will be locked into a number of assumptions that have little to do with what is required and everything to do with the personal preferences and technical ability of designers and developers Other constraints, such as ef ciency in speed and storage, compatibility with other systems, etc are important, but not compared to the basic job of nding out what is necessary The rst stage of requirements speci cation is simply to list all of the userinteractions that this facility might involve, normally in conference with the customer (travel agent) In UML, these are referred to as use-cases For example: The travel agency system will enable the user to 1 enter details (name, address, phone) of a new customer on to the system 2 enter proposed package holiday bookings.

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