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Content Management System And Its Different Types

A system that can be used to manage the content of a website is called content management system (CMS). In other words, CMS is a tool to create, edit, and remove details/information in a website. The definitive advantage of the CMS being that you can carry out most of the task without any technical expertise.

The contents managed can be of various types that include web contents, media files, e-documents, online transactions, etc. and they are classified based on the requirements.

Types of CMS

The different types of CMS are as follows,

Browser based CMS:

The most convenient and the cheapest CMS is the browser based CMS. It is easy to access and can be edited from anywhere in the world. Most of the other CMS require software to be installed but whereas this CMS does not require any software and can be simply logged in by using a username, password and the contents can be edited.

Transactional based CMS:

This type of CMS can be employed by E-commerce organization where they need to manage large data of transactions though online.

Digital based CMS:

Information is also stored in digital format, hence the digital equipment needs to be organized and kept in a system that is effective and functions properly. For this purpose, you can use a digital asset management system which will help in organizing all the media files. The digital media may contain audio, video, stills, graphics, and other media related files.

Business Process CMS:

This is a CMS which is related to transaction details such as invoices, sales order, application forms, etc. Further, the system offers the businesses to integrate and expand in the corporate environment and also provides the support to organize the work steps systematically and improve better communication among the users.

Enterprise CMS:

This system offers the users to access, scan, store and manage all information within an enterprise. The system supports all types of functions, it can be web based or E-commerce based or CRM. The enterprise CMS is designed in a way that can integrate with client server and hosted solutions.

Finally, it is very essential that you need to understand the various types of CMS which enable you to decide on the one that best suits your business. If you are not sure about the CMS that works cost effectively and efficiently for your business, contact us and we are happy to offer you the best possible help.

Vijayakumar Palaniappan
Marketing Manager
Samran Technologies

Vijayakumar Palaniappan is a Marketing Manager at Samran Technologies. He can be contacted on 0207 043 0870 or emailed at vijayakumar.palaniappan@samrantech.com, http://webdesign.samrantech.com/

 


How to Make A Web Site Without Any Technical Knowledge

This article will teach you how to make a web site even if you don't know any HTML, CSS or any other web design languages.

The easiest way to get a web site up and running with minimal experience is to use an online site builder. Online site builders are web building software that are hosted on the internet. They can be used by total newbies to build web pages with minimal technical knowledge.

Here are several reasons why you should consider using an online site builder to make a web site.

  • WYSIWYG

    Online site builders offer you a WYSIWYG (what you see is what you get) editing interface. This means that you need little or no html knowledge to begin using it. Everything is done visually. The site builder will then produce the necessary HTML code that will make up your website.

  • Short learning curve

    With online site builders, you can put together a website in very short amount of time. The process of building a website using online site builders is very easy to understand. You just go through a series of steps and supply the site builder with the information it asks for and it will set everything up for you.

  • One button click publishing

    One of the biggest problem a newbie has with making a web site is publishing it to the internet. With online site builders, you don't have to worry about messing with FTP software to upload your webpages. Often, all you need to do is click on a "Save" or "Publish" button and your website is live on the internet for all to see.

  • Variety of predesigned layouts

    Most online site builders also comes with a variety of designs to choose from. This gives you that professional look instantly. Without you having to learn the fine points of creating great looking sites.

  • Minimal requirements

    Since it's web based, all you need to use an online site builder is a web browser and an internet connection. You don't have to worry about downloading programs and installing them. You can access an online site builder from any computer and you will always have access to the latest features.

Now, how do you gain access to an online site builder?

Most good web host provide a basic site builder with their services. Though very basic, you can still make a decent web sites with it.

I would recommend you sign up for specialized site builder. These site builders specializes in building a specific type of website. You have online site builders that build content sites, some that build ecommerce sites and others that build multimedia sites. So, it really depends on what type of site you'd like to build.

Either way, online site builders are a great way for newbies to learn how to make a web site without any technical knowledge.

Bina has helped many newbies build their own website. Check out her blog for some non techie web site building tips & tutorials.

 


Efficient SQL Databases

Don't be fooled by seeming simplicity. A lot of developers get comfortable with a certain way of designing a database for their web applications that they miss out on techniques they should rather employ to make things run faster and more efficiently. A lot of developers don't bear in mnd that the small site they are creating now might grow into something incredibly large and complex, and the database they designed has become bloated and doesn't scale well to meet the demands of the increased traffic.

This article hopes to provide web developers with a few techniques to help make their database and queries faster and more efficient.

1. Avoid Character Types

When you are designing a database, it is so easy to set all data types to the VARCHAR type as it can then contain any data you want; numbers or text. But character data is amongst the most inefficient data type you can get. If a field is only going to contain numbers, then make it one of the appropriate types (INT, DOUBLE, etc).

Also, wherever possible in your web development code, try to use numeric data types as opposed to characters. One of the most common things a script has to store are flags like whether someone answered yes or no to a question, etc. You could of course store it as 'Y' or 'N' but why not store it as 0 and 1?

The reason this makes a difference is when you have a database, for example, with over 500 000 entries, and are running a SELECT on that field, comparisons are processed a lot faster for numeric data types than character types. Also, if you need to return data to the calling script, numeric data is less memory intensive than character data. In addition, your web development language (PHP, ASP, etc) would also be able to process and perform functions on numeric data better than character data.

I am not trying to convince you never to use character data types. Sometimes it is a necessity, but if you can find ways to reduce the amount of character data processed by your SQL database, the better your server will cope.

2. Normalization

Normalizing a database is really quite a complex process. It is a process that describes a way to design a database structure to avoid repetition of data in your database and can lead to significant performance benefits if employed correctly. However, the entire process of normalisation is a bit beyond the scope of this article as it can fill books on its own, but any developer designing a database should seriously consider becoming knowledgable about normalisation and employing it in their own designs.

For a good tutorial on this process: http://www.keithjbrown.co.uk/vworks/mysql/mysql_p7.php

3. DateTime vs Timestamp fields

This actually relates to 1. a bit. The big difference to bear in mind here is that a field of type DATETIME is actually stored as a series of characters. A field of type TIMESTAMP is actually stored as an integer. So therefore, a more efficient way of storing dates is using the timestamp method. The timestamp has its drawbacks however. For one, you cannot store a date early than 1 January, 1970. Also, timestamps in your script will need recalculating to get to the character format. Because of this recalculation, it may not be better to store as timestamp. It really is a case of testing which format works better for your needs.

4. Use LIMIT where possible

In your queries, if you are doing a SELECT to a database and you only expect a certain number of results, using the LIMIT statement can speed your query up incredibly.

For example, if you have a table of users and you need to run a query to search for one users record, you can use a query like:

SELECT user_name FROM users WHERE user_id = 453;

This query is perfectly valid and will return the right result. But you also know there will only be ONE result. The query above will search the database, find what you want, but then still continue searching after that. It would run a lot faster if you could tell the query that once it has found what you are looking for to stop searching. LIMIT can do this, as this query shows:

SELECT user_name FROM users WHERE user_id = 453 LIMIT 1;

Imagine this scenario. You have a table called logins, that records every login from a user. It currently contains over 2 000 000 records, and you want to find the first time a user logged in. Now bear in mind that because this table inserts data over time, it is already sorted for by date. You could do the following query:

SELECT MIN(login_date) FROM logins WHERE user_id = 4876;

This will return the record you want, but SQL will now have to get all dates for that user, sort them and then return the lowest value to you. Our table is already date sorted simply because of the way it records data for us. So using LIMIT can be more effective:

SELECT login_date FROM logins WHERE user_id = 4876 LIMIT 1;

Because it is sorted, the first one will always be a users first login.

5. Avoid using LIKE

If you have tried to employ 1. above, then hopefully you will be in a scenario where you do not need to use LIKE all that much. LIKE is one of the most inefficient ways of searching a table. LIKE performs a text comparison search in a field and with no wildcards is as efficient as a direct comparison; i.e. WHERE name = 'Jane' is equivalent to WHERE name LIKE 'Jane'. It is when you start introducing the wildcard characters like '%' that things get really hairy.

If you do have to use LIKE, then at least try and make efficient use of the wildcards. These are '_' (underscore) and '%'. Let me explain all this with a real world example.

In a project I was involved in, we had a SQL database storing logs generated automatically from a mail server. Unfortunately, the mail server pretty much just dumped a very long string of text data into a field that contained the data we wanted. A script had to be written to find all logs that referred to a login by a user into the POP server. The only way we could do this was to search every record for a string in the msg field that had the text "User logged in" in it. The first query developed was something like this:

SELECT msg FROM logs WHERE msg LIKE '%User logged in%';

This query took on average of about 35 minutes to process. Obviously not an ideal situation. The way the LIKE worked here was that it had to parse through every single portion of each and every record in the msg field looking for text that matched "User logged in" anywhere in the text. We were able to determine eventually that the text "User logged in" occured at the end of that text in the msg field and so we altered the query:

SELECT msg FROM logs WHERE msg LIKE '%User logged in';

The '%' at the end was removed as we do not want to worry about text after because there is none. The query now only compares text to our string in the msg field at the end of the field and no longer parses through the entire piece of text stored in msg. The query now ran in under 2 minutes. (This was actually still too long, but how we optimised from there is a little beyond the scope of this article.)

Hopefully with all these elements put into practice on your next web development project, you can have a database that runs quickly, efficiently, uses as little resources as possible and wont grind to a halt when the load suddenly increases.

Gareth McCumskey works as the Systems Developer for Synaq, a South African based Linux support and services provider. He has been involved in web development for over nine years and programming since he was 13.

 


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