ICT (TIK)

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SDLC And User Needed

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Last Updated ( Friday, 03 April 2009 08:41 )
 

Software Architecture: Evolution of Software Development

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Roughly every decade the software development field experiences a shift in software design paradigms. Design methodologies and tools must evolve as the problems and technologies become more complex. Software development was born around 1949 when the first stored-program computer, the Cambridge EDSAC, was created. Programs were initially created as binary machine instructions. This approach to programming proved to be slow and difficult because of the human inability to easily memorize long, complex binary strings. The notion of a human-readable shorthand for designing programs was conceived. Initially, the concept behind the programming shorthand was to allow a program designer to design a program and for a programmer or coder to manually translate the shorthand into binary code.

In the early 1950s, it became apparent that the majority of a programmer's time was spent correcting mistakes in software. One response to this situation was the creation of program subroutines that allowed programmers to reuse program fragments that had already been written and debugged, thus improving the productivity of programmers. By the late 1950s, the handcrafting of programs—even with the aid of reusable subroutines—was becoming uneconomical. Hence research in the area of automatic programming systems began. Automatic programming would allow programmers to write programs in a high-level language code, which was easier to read by humans, that would then be converted into binary machine instructions by use of another program. Thus, the first paradigm shift in software development was about to occur.

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Software Architecture: Introduction to Software Architecture

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Software architecture involves the integration of software development methodologies and models, which distinguishes it from particular analysis and design methodologies. The structure of complex software solutions departs from the description of the problem, adding to the complexity of software development. Software architecture is a body of methods and techniques that helps us to manage the complexities of software development.

Software architecture is a natural extension of the software engineering discipline. In early literature it was simply referred to as programming in the large. Software architecture presents a view of a software system as components and connectors. Components encapsulate some coherent set of functionality. Connectors realize the runtime interaction between components. The system design achieves certain qualities based on its composition from components and connectors. The architecture of a software system can be specified in a document called the architectural description. Software architecture design is not entirely different from existing software design methodologies. Rather it complements them with additional views of a system that have not been traditionally handled by methodologies like object-oriented design. We will learn that software architecture fits within a larger enterprise architecture that also encompasses business architecture, information technology architecture, and data architecture.

Last Updated ( Sunday, 17 August 2008 07:35 ) Read more...
 

Data Warehouse: A Historical Perspective

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In the 1970s the first commercial applications were built to computerize the day-to-day operations of a business. These systems were built on mainframe computers which were very expensive. Only large businesses could afford the hardware, the programmers to program them, and the operations staff to keep them running. These systems were focused on inserting new data and reading it sequentially using magnetic tapes.
 
With the invention of disk storage, the data could be accessed directly. This led to the first database management systems, which organized the data either hierarchically or in a network. These database systems were very complex. Programmers had to understand how the data was stored on the disk and navigate through the data to generate reports. Application programmers used COBOL to create custom reports. It took several days or even weeks to write the program for each new report. Reports were printed on computer paper and manually distributed to the users. There were never enough programmers, so there was always an application backlog. Once data could be accessed directly, the first on-line transaction processing (OLTP) systems were built.
Last Updated ( Friday, 15 August 2008 07:22 ) Read more...
 

Data Warehouse: What is Data Warehouse?

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So, after all that, just what is a data warehouse and how does it fit in? A data warehouse is a database containing data from multiple operational systems that has been consolidated, integrated, aggregated, and structured so that it can be used to support the analysis and decision-making process of a business.
 
Why Do You Need a Data Warehouse?
 
Is all the information needed to run your business available when it’s needed, in the form in which it’s needed and in sufficient detail and with accuracy to base decisions upon? Or, do two users arrive at a meeting with reports that don’t match? One thinks sales for March are $500 million, and another says they are $524 million. After much analysis, you determine that different data has been used to calculate the sales in each report, and you spend considerable time trying to figure out why and correcting the problem.
 
Last Updated ( Thursday, 10 July 2008 14:49 ) Read more...
 

Data Warehouse: An Introduction to Oracle Database 10G

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The Economic Climate Influences Technology Spending

One of the challenges of the post-dot-com bubble era that many organizations are facing is being asked to deliver more with little or no budget increase in order to improve the bottom line. You may find yourself looking for new ways to reduce technology costs, while at the same time supporting new applications and improving productivity.

In addition, in the wake of the recent corporate accounting scandals, new regulations have been put into place to enhance corporate responsibility, improve financial disclosures, and combat corporate accounting fraud. The Sarbanes-Oxley Act mandates that companies improve the overall control of the management and reporting of corporate financial information, and places the responsibility for implementing these controls
on the CEO and senior management. This in turn places new demands on the IT organization.

So, how are you able to cut costs, while at the same time improve the overall view of critical business information? How can you use your data to target opportunities, track performance, improve decision making, gain competitive edge, increase profits, and provide better financial reporting?

Consolidation

One answer may be through consolidation. Many companies are streamlining their operations by consolidating their hardware, their information, and their business practices and applications into a smaller number of centralized systems. Simplicity can then be achieved through one common infra-structure. The ability to pull together data from each part of the company provides a complete enterprise view. The data warehouse plays a critical role in this consolidation.

Last Updated ( Wednesday, 09 July 2008 15:45 ) Read more...
 
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