Matters pertaining to IT
The computers were bulky, slow and expensive resource in pre-70s so it made sense to share them for common business functions like payroll amongst a number of clients. The rapid advances in technology heralded advent of PC in 80s, then subsequent increase in memory availability, faster CPUs and faster communication speeds made it viable to have in-house LAN-based client-server offerings to support these functions. The PCs were cheap enough to allow individuals ownership without worrying about idle time. Also the business users sought decision-support systems to complement transactional systems and the IS/IT departments started in the companies thus fading time-sharing.
The complexity involved in deploying and upgrading software in distributed environment, the consequential difficulties in negotiating relevant licenses, the interoperability issues, ubiquity of browser-based client, fast-and-cheap communication, affordable scalability, the trend towards outsourcing etc have all aided the drive towards SaaS. Hardware and software technology is seen as purchasable commodity and the organisations prefer to concentrate on their core competencies, expecting secure and resilient service from experts. The ASPs also feel confident that benchmarks exist to provide requisite concurrency and performance from their server farms, allowing them to focus on their domain-expertise. Also the approach is usually cheaper than in-house solution when TCO is taken into account. All these factors mean that SaaS offerings will continue to grow in foreseeable future.
All the sizeable Java EE applications use a framework like Struts, Java Server Faces etc where the controller is invariably a servlet object. The key disadvantage of servlet technology is that even a minor modification to static content requires changes to the Java code to output HTML. The JSP overcomes this shortcoming by combining HTML and Java. The static part can be pure HTML where as the dynamic aspect can be managed by including code in JSP tags for directive, scripting and action. (Incidentally, JSP tag libraries and JSP expression language are preferred vehicles for including Java code into JSP nowadays). A combination of JSP and servlets provides horses for courses. Historically, the servlet technology is the forerunner to JSP for dynamic content and, unsurprisingly, each JSP page translates to servlet code prior to execution. Thus it is common to use both servlet and JSP technologies in applications as servlets are inevitable but JSP provides convenience, simplicity and ease of development. It also facilitates segregation of responsibilities amongst development teams as the web designers can focus on rather static presentation aspects in JSP whilst the Java developers concentrate on processing logic in servlets and custom tag libraries. This can be enforced by declaring some JSP pages as scriptless in the deployment descriptor of the application. Also in the prevalent model-view-controller architecture, the servlets act as controller whilst the JSP pages provide views. Both technologies are capable of invoking each other so we can focus on the best solution for the task at hand.
However, in the real world to create a truly interactive web application we will go a step further and use Java Server Faces (JSF) technology which builds on these two technologies. With JSF2.0, it is even deemed that JSP is deprecated for creating views.
The peer-to-peer (P2P) software architecture has been instrumental in changing the landscape of the music industry. The drive by the music industry to have the free Napster file sharing service outlawed in 2004 to protect their intellectual capital points to the negative impact on their revenue. However, groups like Arctic Monkeys have seen it as an opportunity to deliberately share their demo CDs free of charge to build fan base with a little marketing outlay.
Access restrictions are enforced by the DBMS facility that ensures that only authorised users gain access to the DBMS. For example, a valid user is allowed to manipulate a table with given access rights.
Integrity constraints are constraints that maintain the consistency and correctness of data.
They protect the contents of the database in totally distinct ways. When a DBMS restricts access to a user to do certain things, like granting right to only view a table rather than update it, then it is ensuring that the data providers with responsibility for maintaining the accuracy of the data content enters, updates and deletes the data while the data consumers just have the privilege to review data for their proper functioning. Also the sensitive company data pertaining to finance and personnel functions can be shielded from the prying eyes of those who have no need for direct access to this data by not authorizing access to these data areas. Essentially, access restriction is ensuring that only the data necessary and sufficient for carrying out a job is made available to the person and the rest of the data is hidden from him. Through access restrictions we can segregate responsibilities within the organisations by providing access authorization to data horizon necessary for a role. These security access restrictions are centrally defined and DBMS automatically enforces them while accessing the database (Block1,p24). The data correctness is achieved by proper responsibility sharing through access privileges and obviating the potential for unauthorised rogue data manipulations. Any SQL statement issued by a user can only be commensurate with his authorised access profile or DBMS will not execute it.
Integrity constraint ability to enforce consistent and correctness is best understood through example. If we have a geographical hierarchy with levels of company, country, region and world (eg Unilever UK, UK, Europe, Global held in COMPANIES, COUNTRIES, REGIONS and WORLD tables) then while defining a company in COMPANIES table it ensures that it is only linked to the valid countries defined in the COUNTRIES table in the database and countries and linked to the valid regions in REGIONS table. If we had linked a company to an undefined country in the database, then while aggregating regional data this rogue country would have been missed in table linkages as it is not part of the hierarchy. Also if we try to delete a region in our REGIONS table while there are countries linked to that region in the COUNTRIES table then integrity constraint could either prevent us from carrying out this operation or cascade the delete to all the records in COUNTRIES table that are linked to REGIONS table with region_id as the foreign key. All these type of rule governing referential integrity are stored in the system catalog managed by the DBMS and are automatically enforced by DBMS without required any programming intervention by the developer (Block1,p24). Although we have focussed on the referential integrity in our example, we can see the data integrity being enforced by DBMS when it enforces user-defined rules like date of birth has to be lower than date of school start or numeric phone number should not have any arithmetic operations performed on them. We can define a number of integrity constraints like email address must include ‘@’, the values for a particular column must be within 100-800 range or area code is restricted to a subset of predefined codes etc. These are all examples of integrity constraints defined to ensure the correctness and validity of the data contained in the database. The integrity constraints could also be implemented through pre-insert, pre-update, pre-delete triggers etc on the tables.