So yeah, the setup is a kind of a big deal. If your documentation can live freely and openly on the web, and you can pay for a third-party web host to manage the hosting, then you can bypass all of this do-it-yourself server management and be up and running in an afternoon. Single site instead of discrete outputs. You may have 10 different outputs based on various audiences, programming languages, products, or more. You then end up serving up these files in different directories. Managing all of these outputs can be a bear.
If you have 10 outputs instead of 1, it takes 10 times as long to generate the files, 10 times as long to upload them, and is more difficult to get reviewers to look through 10 different sets of material. The cool thing about databases is that you can dynamically serve the content based on a specific login or other condition. For example, suppose someone with X permissions logs in. You can set that only X content should appear to the user, while Y content should not.
You can therefore keep all of this content on a single site, rather than spread across 10 different sites that you have to maintain. If your users aren't logging in, you can dynamically serve content through other triggers. Although I'm not entirely sure how to do this technically, you could probably enable users to select an option that would trigger a filter for the content in the same way.
Granted, with a static site, you can implement some jQuery plugins that will switch styles and hide or show content based on "display:none" settings with styelsheets, but it's more of a trick rather than a solid way of dynamically filtering content.
Publishing speed. When you want to make an update to a page generated in the static file model, you have to re-generate the output and upload it all again. It's a slow model. Voila, the update appears. It's a second process versus a minute process. If you follow the DocOps model , there's a need for continuous publishing. You need to address lots of little updates based on constant support incidents and other feedback.
You need the ability to quickly and easily edit your content based on a barrage of support incidents and calls.
With a database model site, you don't need to republish the entire site just to make one edit. This is largely why Movable Type, an early competitor to WordPress, failed.
When you wanted to make a change, it republished your entire site using a Perl script. Out of the box everything. Another great point in WordPress's favor is the out-of-the-box everything model. Need a plugin? You can probably get the functionality you need immediately more or less as well as the theme.
For technical writers without front-end dev skills, this is a huge benefit. You've probably got a lot of documentation you need to be focusing on. WordPress lets you focus on that documentation while also allowing you to publish an awesome looking site. Given that users simply expect sites to be interactive, professional, ajax-enabled, etc. Combine KB articles with documentation. Another advantage of WordPress is the ability to easily combine knowledge base articles written by support engineers with documentation written by technical writers.
You can give support engineers access and the ability to write without expecting them to craft valid DITA docs and integrate them into your repository. You can even create different post types for the different types of content KB articles, release notes, how-to, white papers, blogs, etc. Data sharing — File system does not allow sharing of data or sharing is too complex. Whereas in DBMS, data can be shared easily due to centralized system.
Data concurrency — Concurrent access to data means more than one user is accessing the same data at the same time. Anomalies occur when changes made by one user gets lost because of changes made by other user. File system does not provide any procedure to stop anomalies. Whereas DBMS provides a locking system to stop anomalies to occur.
Data searching — For every search operation performed on file system, a different application program has to be written. While DBMS provides inbuilt searching operations. User only have to write a small query to retrieve data from database.
Data integrity — There may be cases when some constraints need to be applied on the data before inserting it in database. The file system does not provide any procedure to check these constraints automatically. Whereas DBMS maintains data integrity by enforcing user defined constraints on data by itself. System crashing — In some cases,systems might have crashes due to various reasons. A DBMS will have the recovery manager which retrieves the data making it another advantage over file systems.
Data security — A file system provides a password mechanism to protect the database but how longer can the password be protected? No one can guarantee that. DBMS has specialized features that help provide shielding to its data. DBMS is continuously evolving from time to time. It is power tool of data storage and protection. This article is contributed by Sagar Shukla. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.
On the contrary Data inconsistency is low in a database management system. File system does not provide support for complicated transactions, while in the DBMS system, it is easy to implement complicated transactions using SQL.
File system does not offer concurrency, whereas DBMS provides a concurrency facility. Report a Bug. Previous Prev. Next Continue. Home Testing Expand child menu Expand.
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